Competency catalogue

D01 Digital · Knowledge · Foundation

AI Concept Understanding

Comprehend what AI is, its types, and how it differs from traditional software

Alignment

9 resources likely to contribute to it or develop it

1 decided at level 2 or 3 · 8 not decided yet, more likely than not

On a graded sample, 12 pairs were graded 2 or 3 for it, and the map counts 7.

Retrieval

210 resources harvested by searching its terms

Searched 3 times, once for each source a harvest asked. What its searches brought in; whether they teach it is the alignment's question, not this one.

Search vocabulary

Domain group

AI conceptstypes of AIAI fundamentalsrecognizing AIrecognising AIgeneral versus narrow AInarrow AIgeneral AImachine intelligenceAI strengths and weaknessestraditional softwarerule-based systemsintroduction to AIintroduction to artificial intelligenceartificial intelligence introductionAI primerfoundations of artificial intelligenceoverview of AIunderstanding AIhistory of AIAI essentialsAI terminologymetaphors for AIAI fundamental conceptsAI key conceptsphilosophy of AIcritical AI literacy

Zenodo and arXiv take the whole group in one query. GitHub takes one phrase at a time and works left to right, stopping once the competency is satisfied — so on that lane this order decides which terms actually run.

Precision warnings

artificial insemination

Recorded on a decision, never subtracted from it.

The compiled queries

zenodo

("artificial intelligence" OR "machine learning" OR "generative AI" OR "deep learning" OR "reinforcement learning" OR "large language model" OR "AI") AND ("AI concepts" OR "types of AI" OR "AI fundamentals" OR "recognizing AI" OR "recognising AI" OR "general versus narrow AI" OR "narrow AI" OR "general AI" OR "machine intelligence" OR "AI strengths and weaknesses" OR "traditional software" OR "rule-based systems" OR "introduction to AI" OR "introduction to artificial intelligence" OR "artificial intelligence introduction" OR "AI primer" OR "foundations of artificial intelligence" OR "overview of AI" OR "understanding AI" OR "history of AI" OR "AI essentials" OR "AI terminology" OR "metaphors for AI" OR "AI fundamental concepts" OR "AI key concepts" OR "philosophy of AI" OR "critical AI literacy")

arxiv

(all:"artificial intelligence" OR all:"machine learning" OR all:"generative AI" OR all:"deep learning" OR all:"reinforcement learning" OR all:"large language model") AND (all:"AI concepts" OR all:"types of AI" OR all:"AI fundamentals" OR all:"recognizing AI" OR all:"recognising AI" OR all:"general versus narrow AI" OR all:"narrow AI" OR all:"general AI" OR all:"machine intelligence" OR all:"AI strengths and weaknesses" OR all:"traditional software" OR all:"rule-based systems" OR all:"introduction to AI" OR all:"introduction to artificial intelligence" OR all:"artificial intelligence introduction" OR all:"AI primer" OR all:"foundations of artificial intelligence" OR all:"overview of AI" OR all:"understanding AI" OR all:"history of AI" OR all:"AI essentials" OR all:"AI terminology" OR all:"metaphors for AI" OR all:"AI fundamental concepts" OR all:"AI key concepts" OR all:"philosophy of AI" OR all:"critical AI literacy")

github · term 1 AI "AI concepts" in:name,description,readme fork:false archived:false

github · term 2 AI "types of AI" in:name,description,readme fork:false archived:false

github · term 3 AI "AI fundamentals" in:name,description,readme fork:false archived:false

github · term 4 AI "recognizing AI" in:name,description,readme fork:false archived:false

github · term 5 AI "recognising AI" in:name,description,readme fork:false archived:false

github · term 6 AI "general versus narrow AI" in:name,description,readme fork:false archived:false

github · term 7 AI "narrow AI" in:name,description,readme fork:false archived:false

github · term 8 AI "general AI" in:name,description,readme fork:false archived:false

github · term 9 AI "machine intelligence" in:name,description,readme fork:false archived:false

github · term 10 AI "AI strengths and weaknesses" in:name,description,readme fork:false archived:false

github · term 11 AI "traditional software" in:name,description,readme fork:false archived:false

github · term 12 AI "rule-based systems" in:name,description,readme fork:false archived:false

github · term 13 AI "introduction to AI" in:name,description,readme fork:false archived:false

github · term 14 AI "introduction to artificial intelligence" in:name,description,readme fork:false archived:false

github · term 15 AI "artificial intelligence introduction" in:name,description,readme fork:false archived:false

github · term 16 AI "AI primer" in:name,description,readme fork:false archived:false

github · term 17 AI "foundations of artificial intelligence" in:name,description,readme fork:false archived:false

github · term 18 AI "overview of AI" in:name,description,readme fork:false archived:false

github · term 19 AI "understanding AI" in:name,description,readme fork:false archived:false

github · term 20 AI "history of AI" in:name,description,readme fork:false archived:false

github · term 21 AI "AI essentials" in:name,description,readme fork:false archived:false

github · term 22 AI "AI terminology" in:name,description,readme fork:false archived:false

github · term 23 AI "metaphors for AI" in:name,description,readme fork:false archived:false

github · term 24 AI "AI fundamental concepts" in:name,description,readme fork:false archived:false

github · term 25 AI "AI key concepts" in:name,description,readme fork:false archived:false

github · term 26 AI "philosophy of AI" in:name,description,readme fork:false archived:false

github · term 27 AI "critical AI literacy" in:name,description,readme fork:false archived:false

Profile 8a243b68ba2befce

Open the 210 harvested resources →

5 further resources retrieved under these terms held only as metadata: licensed and recorded, but no content could be converted, so they do not count as stock.

30 components of labs or indexes retrieved under these terms: data a lab works on, or a page of links. Held, and not counted as stock.

Alignment descriptor draft

Outcomes

Can explain what makes a system an AI system, and how it differs from conventional, explicitly programmed software.
Can tell narrow AI from general AI, and name the main families of AI (rule-based, machine learning, generative).
Can give examples of everyday AI and say what it can and cannot do.

Develops it

An introduction whose aim is to explain what AI is: definitions, types, a short history, examples, and the contrast with traditional software, usually with a check of understanding.

Only mentions it

A course or lesson that names AI in its title or opening line and moves straight on to a specific technique or tool.

Alignment terms

what is artificial intelligencewhat is airule-based aisymbolic aistrong aiweak aituring testai winterexpert system

Read in a resource's text beside the domain group. They are never compiled into a search.

False friends

artificial insemination

A term found beside one of these is read as another sense of the words, not as this competency.

Neighbours

D08 Generative AI Literacy: D08 is about generative models specifically; D01 is about AI as a whole.
D02 Machine Learning Fundamentals: D02 explains how machine learning learns; D01 stops at what AI is and what kinds exist.

Descriptor f767408aa5a7

D02 Digital · Knowledge · Foundation

Machine Learning Fundamentals

Understand supervised, unsupervised, and reinforcement learning paradigms

Alignment

4 resources likely to contribute to it or develop it

1 decided at level 2 or 3 (1 develops it) · 3 not decided yet, more likely than not

On a graded sample, 9 pairs were graded 2 or 3 for it, and the map counts 3.

Retrieval

0 resources harvested by searching its terms

Searched 3 times, once for each source a harvest asked. What its searches brought in; whether they teach it is the alignment's question, not this one.

Search vocabulary

Domain group

machine learning fundamentalssupervised learningunsupervised learningreinforcement learning paradigmmachine learning stepslearning from datamachine learning conceptstraining and predictionclassification and regressionclusteringsemi-supervised learningdimensionality reduction

Zenodo and arXiv take the whole group in one query. GitHub takes one phrase at a time and works left to right, stopping once the competency is satisfied — so on that lane this order decides which terms actually run.

The compiled queries

zenodo

("artificial intelligence" OR "machine learning" OR "generative AI" OR "deep learning" OR "reinforcement learning" OR "large language model" OR "AI") AND ("machine learning fundamentals" OR "supervised learning" OR "unsupervised learning" OR "reinforcement learning paradigm" OR "machine learning steps" OR "learning from data" OR "machine learning concepts" OR "training and prediction" OR "classification and regression" OR "clustering" OR "semi-supervised learning" OR "dimensionality reduction")

arxiv

(all:"artificial intelligence" OR all:"machine learning" OR all:"generative AI" OR all:"deep learning" OR all:"reinforcement learning" OR all:"large language model") AND (all:"machine learning fundamentals" OR all:"supervised learning" OR all:"unsupervised learning" OR all:"reinforcement learning paradigm" OR all:"machine learning steps" OR all:"learning from data" OR all:"machine learning concepts" OR all:"training and prediction" OR all:"classification and regression" OR all:"clustering" OR all:"semi-supervised learning" OR all:"dimensionality reduction")

github · term 1 AI "machine learning fundamentals" in:name,description,readme fork:false archived:false

github · term 2 AI "supervised learning" in:name,description,readme fork:false archived:false

github · term 3 AI "unsupervised learning" in:name,description,readme fork:false archived:false

github · term 4 AI "reinforcement learning paradigm" in:name,description,readme fork:false archived:false

github · term 5 AI "machine learning steps" in:name,description,readme fork:false archived:false

github · term 6 AI "learning from data" in:name,description,readme fork:false archived:false

github · term 7 AI "machine learning concepts" in:name,description,readme fork:false archived:false

github · term 8 AI "training and prediction" in:name,description,readme fork:false archived:false

github · term 9 AI "classification and regression" in:name,description,readme fork:false archived:false

github · term 10 AI "clustering" in:name,description,readme fork:false archived:false

github · term 11 AI "semi-supervised learning" in:name,description,readme fork:false archived:false

github · term 12 AI "dimensionality reduction" in:name,description,readme fork:false archived:false

Profile ed0e8754048a8d40

Alignment descriptor draft

Outcomes

Can explain supervised, unsupervised and reinforcement learning and give an example of each.
Can describe the steps of a machine learning project: data, features, training, evaluation, prediction.
Can explain overfitting, and why a model is tested on data it did not see in training.

Develops it

A lesson that explains learning paradigms or core techniques (regression, classification, clustering) to someone learning them, with examples and usually a worked notebook.

Only mentions it

A text that calls a model 'supervised' or 'trained' in passing, or lists machine learning as a prerequisite.

Alignment terms

linear regressionlogistic regressiondecision treek-meanslabelled datalabeled dataoverfittingunderfittingtraining settest setfeatures and labels

Read in a resource's text beside the domain group. They are never compiled into a search.

Neighbours

T06 AI Algorithm Design: T06 designs and implements algorithms for a task; D02 is understanding the paradigms.
T05 Reinforcement Learning: T05 applies reinforcement learning in depth; D02 only places it among the paradigms.
D01 AI Concept Understanding: D01 is what AI is in general; D02 is how machines learn from data.

Descriptor c042992a8bff

D03 Digital · Skill · Foundation

Data Literacy for AI

Collect, curate, label, and evaluate data quality for AI training

Alignment

2 resources likely to contribute to it or develop it

0 decided at level 2 or 3 · 2 not decided yet, more likely than not

On a graded sample, 1 pair was graded 2 or 3 for it, and the map counts 1.

Retrieval

0 resources harvested by searching its terms

Searched 3 times, once for each source a harvest asked. What its searches brought in; whether they teach it is the alignment's question, not this one.

Search vocabulary

Domain group

data literacydata collectiondata curationdata labellingdata labelingdata preparationdata qualitydata provenancedataset representationtraining datadataset evaluationcritically interpreting datadata quality literacycritical data literacyquantitative data literacytraining data bias

Zenodo and arXiv take the whole group in one query. GitHub takes one phrase at a time and works left to right, stopping once the competency is satisfied — so on that lane this order decides which terms actually run.

The compiled queries

zenodo

("artificial intelligence" OR "machine learning" OR "generative AI" OR "deep learning" OR "reinforcement learning" OR "large language model" OR "AI") AND ("data literacy" OR "data collection" OR "data curation" OR "data labelling" OR "data labeling" OR "data preparation" OR "data quality" OR "data provenance" OR "dataset representation" OR "training data" OR "dataset evaluation" OR "critically interpreting data" OR "data quality literacy" OR "critical data literacy" OR "quantitative data literacy" OR "training data bias")

arxiv

(all:"artificial intelligence" OR all:"machine learning" OR all:"generative AI" OR all:"deep learning" OR all:"reinforcement learning" OR all:"large language model") AND (all:"data literacy" OR all:"data collection" OR all:"data curation" OR all:"data labelling" OR all:"data labeling" OR all:"data preparation" OR all:"data quality" OR all:"data provenance" OR all:"dataset representation" OR all:"training data" OR all:"dataset evaluation" OR all:"critically interpreting data" OR all:"data quality literacy" OR all:"critical data literacy" OR all:"quantitative data literacy" OR all:"training data bias")

github · term 1 AI "data literacy" in:name,description,readme fork:false archived:false

github · term 2 AI "data collection" in:name,description,readme fork:false archived:false

github · term 3 AI "data curation" in:name,description,readme fork:false archived:false

github · term 4 AI "data labelling" in:name,description,readme fork:false archived:false

github · term 5 AI "data labeling" in:name,description,readme fork:false archived:false

github · term 6 AI "data preparation" in:name,description,readme fork:false archived:false

github · term 7 AI "data quality" in:name,description,readme fork:false archived:false

github · term 8 AI "data provenance" in:name,description,readme fork:false archived:false

github · term 9 AI "dataset representation" in:name,description,readme fork:false archived:false

github · term 10 AI "training data" in:name,description,readme fork:false archived:false

github · term 11 AI "dataset evaluation" in:name,description,readme fork:false archived:false

github · term 12 AI "critically interpreting data" in:name,description,readme fork:false archived:false

github · term 13 AI "data quality literacy" in:name,description,readme fork:false archived:false

github · term 14 AI "critical data literacy" in:name,description,readme fork:false archived:false

github · term 15 AI "quantitative data literacy" in:name,description,readme fork:false archived:false

github · term 16 AI "training data bias" in:name,description,readme fork:false archived:false

Profile 3f3eab27ece189d6

Alignment descriptor draft

Outcomes

Can collect, clean and label data for training, and document where it came from.
Can assess a dataset's quality: missing values, errors, balance and representativeness.
Can explain how flaws in training data become flaws in a model.

Develops it

Hands-on work on preparing data for AI — cleaning, labelling, exploring and checking quality — with the reasons each step matters for the model.

Only mentions it

A notebook that loads a ready-made dataset and goes straight to modelling, or a text that names 'training data' without examining it.

Alignment terms

data cleaningmissing valuesexploratory data analysisdata annotationclass imbalancedata visualizationdata visualisationoutliersdatasheets for datasets

Read in a resource's text beside the domain group. They are never compiled into a search.

Neighbours

T09 Data Engineering for AI: T09 builds data pipelines and infrastructure; D03 is judging and preparing the data itself.
T21 Bias Detection & Mitigation: T21 detects and mitigates bias in models; D03 checks data quality, bias in the data included.
D16 Data Privacy in AI Contexts: D16 protects personal data; D03 is about its quality and fitness for training.

Descriptor df8e8dc0b046

D04 Digital · Skill · Foundation

AI Interaction & Prompting

Effectively interact with AI systems through prompt engineering

Alignment

12 resources likely to contribute to it or develop it

4 decided at level 2 or 3 (4 develop it) · 8 not decided yet, more likely than not

On a graded sample, 1 pair was graded 2 or 3 for it, and the map counts 1.

Retrieval

0 resources harvested by searching its terms

Never searched yet.

Search vocabulary

Domain group

prompt engineeringprompt designprompting techniquesiterative promptingprompt refinementclear structured inputssystem promptfew-shot promptingchain of thought promptingstructured outputone-shot promptingmeta-promptingprompting essentialsprompt libraryprompt evaluation

Zenodo and arXiv take the whole group in one query. GitHub takes one phrase at a time and works left to right, stopping once the competency is satisfied — so on that lane this order decides which terms actually run.

The compiled queries

zenodo

("artificial intelligence" OR "machine learning" OR "generative AI" OR "deep learning" OR "reinforcement learning" OR "large language model" OR "AI") AND ("prompt engineering" OR "prompt design" OR "prompting techniques" OR "iterative prompting" OR "prompt refinement" OR "clear structured inputs" OR "system prompt" OR "few-shot prompting" OR "chain of thought prompting" OR "structured output" OR "one-shot prompting" OR "meta-prompting" OR "prompting essentials" OR "prompt library" OR "prompt evaluation")

arxiv

(all:"artificial intelligence" OR all:"machine learning" OR all:"generative AI" OR all:"deep learning" OR all:"reinforcement learning" OR all:"large language model") AND (all:"prompt engineering" OR all:"prompt design" OR all:"prompting techniques" OR all:"iterative prompting" OR all:"prompt refinement" OR all:"clear structured inputs" OR all:"system prompt" OR all:"few-shot prompting" OR all:"chain of thought prompting" OR all:"structured output" OR all:"one-shot prompting" OR all:"meta-prompting" OR all:"prompting essentials" OR all:"prompt library" OR all:"prompt evaluation")

github · term 1 AI "prompt engineering" in:name,description,readme fork:false archived:false

github · term 2 AI "prompt design" in:name,description,readme fork:false archived:false

github · term 3 AI "prompting techniques" in:name,description,readme fork:false archived:false

github · term 4 AI "iterative prompting" in:name,description,readme fork:false archived:false

github · term 5 AI "prompt refinement" in:name,description,readme fork:false archived:false

github · term 6 AI "clear structured inputs" in:name,description,readme fork:false archived:false

github · term 7 AI "system prompt" in:name,description,readme fork:false archived:false

github · term 8 AI "few-shot prompting" in:name,description,readme fork:false archived:false

github · term 9 AI "chain of thought prompting" in:name,description,readme fork:false archived:false

github · term 10 AI "structured output" in:name,description,readme fork:false archived:false

github · term 11 AI "one-shot prompting" in:name,description,readme fork:false archived:false

github · term 12 AI "meta-prompting" in:name,description,readme fork:false archived:false

github · term 13 AI "prompting essentials" in:name,description,readme fork:false archived:false

github · term 14 AI "prompt library" in:name,description,readme fork:false archived:false

github · term 15 AI "prompt evaluation" in:name,description,readme fork:false archived:false

Profile d8f775229640cb7f

Alignment descriptor draft

Outcomes

Can write clear, structured prompts with a role, context, constraints and an output format.
Can use techniques such as few-shot examples, step-by-step reasoning and iterative refinement.
Can compare prompts and revise them according to the results.

Develops it

A tutorial or lab on writing prompts: techniques explained, examples of better and worse prompts, and exercises that have the learner write and refine their own.

Only mentions it

Code that sends a fixed prompt to an API without discussing it, or a text that says 'prompt the model'.

Alignment terms

prompt templatezero-shot promptingrole promptingprompt patternsprompt chainingoutput formatdelimiters

Read in a resource's text beside the domain group. They are never compiled into a search.

False friends

command promptanaconda prompt

A term found beside one of these is read as another sense of the words, not as this competency.

Neighbours

D05 AI Output Evaluation: D05 judges what comes back; D04 shapes what goes in.
D26 AI-Assisted Coding: D26 is working with coding assistants; D04 is prompting in general.
D08 Generative AI Literacy: D08 is understanding what generative models can do; D04 is getting them to do it.

Descriptor 97c4f977ae34

D05 Digital · Skill · Intermediate

AI Output Evaluation

Critically assess AI-generated content for accuracy, bias, and reliability

Alignment

2 resources likely to contribute to it or develop it

0 decided at level 2 or 3 · 2 not decided yet, more likely than not

On a graded sample, 2 pairs were graded 2 or 3 for it, and the map counts 0.

Retrieval

0 resources harvested by searching its terms

Never searched yet.

Search vocabulary

Domain group

AI output evaluationgenerated content evaluationaccept revise or reject AI outputAI output fact checkingcross-checking reliable sourceshallucination detectionoutput fairnessoutput reliabilityoutput accuracycritical evaluation of AIAI-generated content biasAI output consistencyAI output relevanceAI output validation

Zenodo and arXiv take the whole group in one query. GitHub takes one phrase at a time and works left to right, stopping once the competency is satisfied — so on that lane this order decides which terms actually run.

The compiled queries

zenodo

("artificial intelligence" OR "machine learning" OR "generative AI" OR "deep learning" OR "reinforcement learning" OR "large language model" OR "AI") AND ("AI output evaluation" OR "generated content evaluation" OR "accept revise or reject AI output" OR "AI output fact checking" OR "cross-checking reliable sources" OR "hallucination detection" OR "output fairness" OR "output reliability" OR "output accuracy" OR "critical evaluation of AI" OR "AI-generated content bias" OR "AI output consistency" OR "AI output relevance" OR "AI output validation")

arxiv

(all:"artificial intelligence" OR all:"machine learning" OR all:"generative AI" OR all:"deep learning" OR all:"reinforcement learning" OR all:"large language model") AND (all:"AI output evaluation" OR all:"generated content evaluation" OR all:"accept revise or reject AI output" OR all:"AI output fact checking" OR all:"cross-checking reliable sources" OR all:"hallucination detection" OR all:"output fairness" OR all:"output reliability" OR all:"output accuracy" OR all:"critical evaluation of AI" OR all:"AI-generated content bias" OR all:"AI output consistency" OR all:"AI output relevance" OR all:"AI output validation")

github · term 1 AI "AI output evaluation" in:name,description,readme fork:false archived:false

github · term 2 AI "generated content evaluation" in:name,description,readme fork:false archived:false

github · term 3 AI "accept revise or reject AI output" in:name,description,readme fork:false archived:false

github · term 4 AI "AI output fact checking" in:name,description,readme fork:false archived:false

github · term 5 AI "cross-checking reliable sources" in:name,description,readme fork:false archived:false

github · term 6 AI "hallucination detection" in:name,description,readme fork:false archived:false

github · term 7 AI "output fairness" in:name,description,readme fork:false archived:false

github · term 8 AI "output reliability" in:name,description,readme fork:false archived:false

github · term 9 AI "output accuracy" in:name,description,readme fork:false archived:false

github · term 10 AI "critical evaluation of AI" in:name,description,readme fork:false archived:false

github · term 11 AI "AI-generated content bias" in:name,description,readme fork:false archived:false

github · term 12 AI "AI output consistency" in:name,description,readme fork:false archived:false

github · term 13 AI "AI output relevance" in:name,description,readme fork:false archived:false

github · term 14 AI "AI output validation" in:name,description,readme fork:false archived:false

Profile bbeb9ece2eb5be7a

Alignment descriptor draft

Outcomes

Can check AI-generated content for factual accuracy against reliable sources.
Can recognise hallucination, bias and inconsistency in a model's output.
Can decide whether to accept, revise or reject an output, and justify the decision.

Develops it

Material that teaches users to scrutinise generated output — accuracy, bias, reliability — with examples of failures and practice in checking them.

Only mentions it

A warning such as 'AI can make mistakes' at the end of a tutorial, or a disclaimer that outputs should be verified.

Alignment terms

hallucinationhallucinationsfact-checking ai outputverify ai outputai-generated contentoutput verificationllm as a judgegroundedness

Read in a resource's text beside the domain group. They are never compiled into a search.

Neighbours

T10 AI Model Evaluation: T10 applies formal evaluation metrics to models; D05 is a user's critical reading of outputs.
D15 AI & Information Verification: D15 verifies information in general, AI-made or not; D05 assesses what an AI produced.
T21 Bias Detection & Mitigation: T21 measures and mitigates bias in models; D05 spots it in outputs.

Descriptor 538d8922da05

D06 Digital · Skill · Foundation

Algorithmic Thinking

Decompose problems into steps suitable for AI-assisted solutions

Alignment

0 resources likely to contribute to it or develop it

None found yet in what the alignment has read.

On a graded sample, 1 pair was graded 2 or 3 for it, and the map counts 0.

Retrieval

0 resources harvested by searching its terms

Never searched yet.

Search vocabulary

Domain group

algorithmic thinkingcomputational thinkingproblem decompositionstepwise problem solvingabstractionalgorithm designAI-assisted problem solving

Zenodo and arXiv take the whole group in one query. GitHub takes one phrase at a time and works left to right, stopping once the competency is satisfied — so on that lane this order decides which terms actually run.

The compiled queries

zenodo

("artificial intelligence" OR "machine learning" OR "generative AI" OR "deep learning" OR "reinforcement learning" OR "large language model" OR "AI") AND ("algorithmic thinking" OR "computational thinking" OR "problem decomposition" OR "stepwise problem solving" OR "abstraction" OR "algorithm design" OR "AI-assisted problem solving")

arxiv

(all:"artificial intelligence" OR all:"machine learning" OR all:"generative AI" OR all:"deep learning" OR all:"reinforcement learning" OR all:"large language model") AND (all:"algorithmic thinking" OR all:"computational thinking" OR all:"problem decomposition" OR all:"stepwise problem solving" OR all:"abstraction" OR all:"algorithm design" OR all:"AI-assisted problem solving")

github · term 1 AI "algorithmic thinking" in:name,description,readme fork:false archived:false

github · term 2 AI "computational thinking" in:name,description,readme fork:false archived:false

github · term 3 AI "problem decomposition" in:name,description,readme fork:false archived:false

github · term 4 AI "stepwise problem solving" in:name,description,readme fork:false archived:false

github · term 5 AI "abstraction" in:name,description,readme fork:false archived:false

github · term 6 AI "algorithm design" in:name,description,readme fork:false archived:false

github · term 7 AI "AI-assisted problem solving" in:name,description,readme fork:false archived:false

Profile 9da694b08ebdddc1

Alignment descriptor draft

Outcomes

Can break a problem into steps that a machine, or an AI assistant, can carry out.
Can abstract the essential features of a problem and express a procedure for it.
Can decide which steps of a solution suit AI and which do not.

Develops it

Teaching material on decomposition, abstraction and algorithms, with problems the learner works through step by step.

Only mentions it

A tutorial that lists steps to follow without asking the learner to design them.

Alignment terms

pseudocodeflowchartstep-by-step solutionalgorithmic problem solvingbreaking down a problem

Read in a resource's text beside the domain group. They are never compiled into a search.

Neighbours

T25 Advanced AI Problem Formulation: T25 formalises complex problems into AI models; D06 is the general habit of decomposing problems.
T06 AI Algorithm Design: T06 designs machine learning algorithms; D06 is foundational algorithmic thinking.

Descriptor 20fc4df5fe81

D07 Digital · Skill · Intermediate

AI-Augmented Decision Making

Integrate AI insights with human judgment for informed decisions

Alignment

3 resources likely to contribute to it or develop it

0 decided at level 2 or 3 · 3 not decided yet, more likely than not

On a graded sample, 1 pair was graded 2 or 3 for it, and the map counts 1.

Retrieval

0 resources harvested by searching its terms

Never searched yet.

Search vocabulary

Domain group

augmented decision makinghuman judgmentdecision supporthuman AI decision makingpredictive AI recommendationsoverride AI recommendationsdecision intelligenceevidence-based decisionsAI-informed decisionshuman in the loophuman-on-the-loopdecision support systemsAI recommendationsrecommendation systemsrecommender systemsexpert systemsAI-supported decisionsAI-enhanced decisions

Zenodo and arXiv take the whole group in one query. GitHub takes one phrase at a time and works left to right, stopping once the competency is satisfied — so on that lane this order decides which terms actually run.

The compiled queries

zenodo

("artificial intelligence" OR "machine learning" OR "generative AI" OR "deep learning" OR "reinforcement learning" OR "large language model" OR "AI") AND ("augmented decision making" OR "human judgment" OR "decision support" OR "human AI decision making" OR "predictive AI recommendations" OR "override AI recommendations" OR "decision intelligence" OR "evidence-based decisions" OR "AI-informed decisions" OR "human in the loop" OR "human-on-the-loop" OR "decision support systems" OR "AI recommendations" OR "recommendation systems" OR "recommender systems" OR "expert systems" OR "AI-supported decisions" OR "AI-enhanced decisions")

arxiv

(all:"artificial intelligence" OR all:"machine learning" OR all:"generative AI" OR all:"deep learning" OR all:"reinforcement learning" OR all:"large language model") AND (all:"augmented decision making" OR all:"human judgment" OR all:"decision support" OR all:"human AI decision making" OR all:"predictive AI recommendations" OR all:"override AI recommendations" OR all:"decision intelligence" OR all:"evidence-based decisions" OR all:"AI-informed decisions" OR all:"human in the loop" OR all:"human-on-the-loop" OR all:"decision support systems" OR all:"AI recommendations" OR all:"recommendation systems" OR all:"recommender systems" OR all:"expert systems" OR all:"AI-supported decisions" OR all:"AI-enhanced decisions")

github · term 1 AI "augmented decision making" in:name,description,readme fork:false archived:false

github · term 2 AI "human judgment" in:name,description,readme fork:false archived:false

github · term 3 AI "decision support" in:name,description,readme fork:false archived:false

github · term 4 AI "human AI decision making" in:name,description,readme fork:false archived:false

github · term 5 AI "predictive AI recommendations" in:name,description,readme fork:false archived:false

github · term 6 AI "override AI recommendations" in:name,description,readme fork:false archived:false

github · term 7 AI "decision intelligence" in:name,description,readme fork:false archived:false

github · term 8 AI "evidence-based decisions" in:name,description,readme fork:false archived:false

github · term 9 AI "AI-informed decisions" in:name,description,readme fork:false archived:false

github · term 10 AI "human in the loop" in:name,description,readme fork:false archived:false

github · term 11 AI "human-on-the-loop" in:name,description,readme fork:false archived:false

github · term 12 AI "decision support systems" in:name,description,readme fork:false archived:false

github · term 13 AI "AI recommendations" in:name,description,readme fork:false archived:false

github · term 14 AI "recommendation systems" in:name,description,readme fork:false archived:false

github · term 15 AI "recommender systems" in:name,description,readme fork:false archived:false

github · term 16 AI "expert systems" in:name,description,readme fork:false archived:false

github · term 17 AI "AI-supported decisions" in:name,description,readme fork:false archived:false

github · term 18 AI "AI-enhanced decisions" in:name,description,readme fork:false archived:false

Profile 4c0bc55df2a5ecda

Alignment descriptor draft

Outcomes

Can combine an AI system's recommendation with their own judgement and context.
Can say when to follow, question or override an AI recommendation.
Can explain the limits of decision support systems and the role of the human in them.

Develops it

Material on using AI to inform decisions — decision support, recommendations, cases where human judgement must prevail — with scenarios the learner reasons through.

Only mentions it

A recommender system built as a coding exercise, with nothing about the decisions people take with it.

Alignment terms

decision supportdecision-making with aiai-assisted decisionautomation biashuman judgementhuman judgment

Read in a resource's text beside the domain group. They are never compiled into a search.

Neighbours

R18 AI-Supported Decision Agility: R18 is making rapid decisions with analytics; D07 is weighing AI insight against human judgement.
D22 Responsible AI Use Mindset: D22 keeps a human in the loop for ethical reasons; D07 does it for the quality of the decision.
R27 Human Agency & Oversight Strategy: R27 designs oversight for an organisation; D07 is the individual decision.

Descriptor 3ed446e5b725

D08 Digital · Knowledge · Intermediate

Generative AI Literacy

Understand capabilities and limitations of generative AI models

Alignment

42 resources likely to contribute to it or develop it

4 decided at level 2 or 3 (1 develops it) · 38 not decided yet, more likely than not

On a graded sample, 11 pairs were graded 2 or 3 for it, and the map counts 3.

Retrieval

0 resources harvested by searching its terms

Never searched yet.

Search vocabulary

Domain group

generative AI literacygenerative model capabilitiesgenerative model limitationsfoundation modelslarge language model capabilitieslarge language model limitationstext generationimage generationmultimodal generation

Zenodo and arXiv take the whole group in one query. GitHub takes one phrase at a time and works left to right, stopping once the competency is satisfied — so on that lane this order decides which terms actually run.

The compiled queries

zenodo

("artificial intelligence" OR "machine learning" OR "generative AI" OR "deep learning" OR "reinforcement learning" OR "large language model" OR "AI") AND ("generative AI literacy" OR "generative model capabilities" OR "generative model limitations" OR "foundation models" OR "large language model capabilities" OR "large language model limitations" OR "text generation" OR "image generation" OR "multimodal generation")

arxiv

(all:"artificial intelligence" OR all:"machine learning" OR all:"generative AI" OR all:"deep learning" OR all:"reinforcement learning" OR all:"large language model") AND (all:"generative AI literacy" OR all:"generative model capabilities" OR all:"generative model limitations" OR all:"foundation models" OR all:"large language model capabilities" OR all:"large language model limitations" OR all:"text generation" OR all:"image generation" OR all:"multimodal generation")

github · term 1 AI "generative AI literacy" in:name,description,readme fork:false archived:false

github · term 2 AI "generative model capabilities" in:name,description,readme fork:false archived:false

github · term 3 AI "generative model limitations" in:name,description,readme fork:false archived:false

github · term 4 AI "foundation models" in:name,description,readme fork:false archived:false

github · term 5 AI "large language model capabilities" in:name,description,readme fork:false archived:false

github · term 6 AI "large language model limitations" in:name,description,readme fork:false archived:false

github · term 7 AI "text generation" in:name,description,readme fork:false archived:false

github · term 8 AI "image generation" in:name,description,readme fork:false archived:false

github · term 9 AI "multimodal generation" in:name,description,readme fork:false archived:false

Profile fda2d44e5826475c

Alignment descriptor draft

Outcomes

Can explain what generative models produce and, broadly, how.
Can describe their limitations: hallucination, bias, knowledge cut-off, cost.
Can choose sensible uses for generative AI and recognise poor ones.

Develops it

An introduction to generative AI for users: what large language and image models do, what they cannot do, and examples that show both.

Only mentions it

A lab that calls a generative model through an API to build an application, with nothing on its capabilities or limits.

Alignment terms

generative ailarge language modelsllm limitationsknowledge cutoffcontext windowtext-to-image

Read in a resource's text beside the domain group. They are never compiled into a search.

Neighbours

T12 Generative AI Architecture: T12 explains the architecture inside generative models; D08 is what they can and cannot do.
D01 AI Concept Understanding: D01 is AI in general; D08 is generative models.
D04 AI Interaction & Prompting: D04 is prompting them well; D08 is understanding them.

Descriptor 0592f985c7f2

D09 Digital · Skill · Intermediate

AI Tools Selection

Identify and select appropriate AI tools for specific tasks

Alignment

0 resources likely to contribute to it or develop it

None found yet in what the alignment has read.

On a graded sample, 2 pairs were graded 2 or 3 for it, and the map counts 0.

Retrieval

0 resources harvested by searching its terms

Never searched yet.

Search vocabulary

Domain group

AI tool selectiondecide whether to use AItask tool fitappropriate AI applicationtechnology selectiontool evaluationvendor comparisonfit for purposeAI tool assessmentsoftware selection criteria

Zenodo and arXiv take the whole group in one query. GitHub takes one phrase at a time and works left to right, stopping once the competency is satisfied — so on that lane this order decides which terms actually run.

The compiled queries

zenodo

("artificial intelligence" OR "machine learning" OR "generative AI" OR "deep learning" OR "reinforcement learning" OR "large language model" OR "AI") AND ("AI tool selection" OR "decide whether to use AI" OR "task tool fit" OR "appropriate AI application" OR "technology selection" OR "tool evaluation" OR "vendor comparison" OR "fit for purpose" OR "AI tool assessment" OR "software selection criteria")

arxiv

(all:"artificial intelligence" OR all:"machine learning" OR all:"generative AI" OR all:"deep learning" OR all:"reinforcement learning" OR all:"large language model") AND (all:"AI tool selection" OR all:"decide whether to use AI" OR all:"task tool fit" OR all:"appropriate AI application" OR all:"technology selection" OR all:"tool evaluation" OR all:"vendor comparison" OR all:"fit for purpose" OR all:"AI tool assessment" OR all:"software selection criteria")

github · term 1 AI "AI tool selection" in:name,description,readme fork:false archived:false

github · term 2 AI "decide whether to use AI" in:name,description,readme fork:false archived:false

github · term 3 AI "task tool fit" in:name,description,readme fork:false archived:false

github · term 4 AI "appropriate AI application" in:name,description,readme fork:false archived:false

github · term 5 AI "technology selection" in:name,description,readme fork:false archived:false

github · term 6 AI "tool evaluation" in:name,description,readme fork:false archived:false

github · term 7 AI "vendor comparison" in:name,description,readme fork:false archived:false

github · term 8 AI "fit for purpose" in:name,description,readme fork:false archived:false

github · term 9 AI "AI tool assessment" in:name,description,readme fork:false archived:false

github · term 10 AI "software selection criteria" in:name,description,readme fork:false archived:false

Profile 4e1e463a034f5ad5

Alignment descriptor draft

Outcomes

Can compare AI tools for a task on capability, cost, data handling and fit.
Can decide whether a task needs AI at all.
Can justify the choice of a tool to others.

Develops it

Material that teaches how to choose among AI tools or services, with criteria, comparisons and cases where the learner makes the choice.

Only mentions it

A tutorial that uses one tool without discussing why it was chosen.

Alignment terms

choosing an ai tooltool comparisonselection criteriabuild or buywhen to use ai

Read in a resource's text beside the domain group. They are never compiled into a search.

Neighbours

G03 Sustainable AI Model Selection: G03 chooses models on environmental criteria; D09 on fit for the task.
G21 Sustainable AI Procurement: G21 evaluates vendors on sustainability; D09 selects tools for a task.
D23 AI Workflow Integration: D23 embeds a chosen tool into a workflow; D09 is choosing it.

Descriptor 6c31498e47c2

D10 Digital · Skill · Intermediate

Human-AI Collaboration

Distribute tasks between humans and AI based on respective strengths

Alignment

0 resources likely to contribute to it or develop it

None found yet in what the alignment has read.

On a graded sample, 4 pairs were graded 2 or 3 for it, and the map counts 0.

Retrieval

0 resources harvested by searching its terms

Never searched yet.

Search vocabulary

Domain group

human AI collaborationhuman machine teaminghuman AI task delegationtask allocationaugment human capacitycomplementary human and AI strengthshybrid intelligencecollaborative intelligencehuman AI teamwork

Zenodo and arXiv take the whole group in one query. GitHub takes one phrase at a time and works left to right, stopping once the competency is satisfied — so on that lane this order decides which terms actually run.

The compiled queries

zenodo

("artificial intelligence" OR "machine learning" OR "generative AI" OR "deep learning" OR "reinforcement learning" OR "large language model" OR "AI") AND ("human AI collaboration" OR "human machine teaming" OR "human AI task delegation" OR "task allocation" OR "augment human capacity" OR "complementary human and AI strengths" OR "hybrid intelligence" OR "collaborative intelligence" OR "human AI teamwork")

arxiv

(all:"artificial intelligence" OR all:"machine learning" OR all:"generative AI" OR all:"deep learning" OR all:"reinforcement learning" OR all:"large language model") AND (all:"human AI collaboration" OR all:"human machine teaming" OR all:"human AI task delegation" OR all:"task allocation" OR all:"augment human capacity" OR all:"complementary human and AI strengths" OR all:"hybrid intelligence" OR all:"collaborative intelligence" OR all:"human AI teamwork")

github · term 1 AI "human AI collaboration" in:name,description,readme fork:false archived:false

github · term 2 AI "human machine teaming" in:name,description,readme fork:false archived:false

github · term 3 AI "human AI task delegation" in:name,description,readme fork:false archived:false

github · term 4 AI "task allocation" in:name,description,readme fork:false archived:false

github · term 5 AI "augment human capacity" in:name,description,readme fork:false archived:false

github · term 6 AI "complementary human and AI strengths" in:name,description,readme fork:false archived:false

github · term 7 AI "hybrid intelligence" in:name,description,readme fork:false archived:false

github · term 8 AI "collaborative intelligence" in:name,description,readme fork:false archived:false

github · term 9 AI "human AI teamwork" in:name,description,readme fork:false archived:false

Profile c41e607b1acce2b1

Alignment descriptor draft

Outcomes

Can divide a task between people and AI according to what each does well.
Can design a workflow in which AI augments rather than replaces human work.
Can recognise when collaboration with AI degrades the quality of the work.

Develops it

Material on human–AI teaming: strengths of each, task allocation, examples of workflows that combine them, with exercises in planning such a division.

Only mentions it

A statement that 'AI will assist humans' with no account of how the work is divided.

Alignment terms

human-ai teaminghuman-ai interactionaugmented intelligencedivision of labour

Read in a resource's text beside the domain group. They are never compiled into a search.

Neighbours

D27 Working with AI Agents: D27 supervises autonomous agents; D10 divides work between people and AI.
R11 Collaborative AI Problem Solving: R11 is cross-functional teams solving problems with AI; D10 is the human–AI pairing itself.

Descriptor 364b3651054c

D11 Digital · Skill · Intermediate

Digital Content Co-creation

Collaborate with AI to produce and enhance digital content

Alignment

1 resource likely to contribute to it or develop it

0 decided at level 2 or 3 · 1 not decided yet, more likely than not

On a graded sample, 1 pair was graded 2 or 3 for it, and the map counts 0.

Retrieval

0 resources harvested by searching its terms

Never searched yet.

Search vocabulary

Domain group

digital content co-creationhuman AI co-creationiterative co-creation with AIAI content creationco-creative AIAI-assisted writingAI-assisted designmultimodal content creationcreative collaborationcontent enhancement

Zenodo and arXiv take the whole group in one query. GitHub takes one phrase at a time and works left to right, stopping once the competency is satisfied — so on that lane this order decides which terms actually run.

The compiled queries

zenodo

("artificial intelligence" OR "machine learning" OR "generative AI" OR "deep learning" OR "reinforcement learning" OR "large language model" OR "AI") AND ("digital content co-creation" OR "human AI co-creation" OR "iterative co-creation with AI" OR "AI content creation" OR "co-creative AI" OR "AI-assisted writing" OR "AI-assisted design" OR "multimodal content creation" OR "creative collaboration" OR "content enhancement")

arxiv

(all:"artificial intelligence" OR all:"machine learning" OR all:"generative AI" OR all:"deep learning" OR all:"reinforcement learning" OR all:"large language model") AND (all:"digital content co-creation" OR all:"human AI co-creation" OR all:"iterative co-creation with AI" OR all:"AI content creation" OR all:"co-creative AI" OR all:"AI-assisted writing" OR all:"AI-assisted design" OR all:"multimodal content creation" OR all:"creative collaboration" OR all:"content enhancement")

github · term 1 AI "digital content co-creation" in:name,description,readme fork:false archived:false

github · term 2 AI "human AI co-creation" in:name,description,readme fork:false archived:false

github · term 3 AI "iterative co-creation with AI" in:name,description,readme fork:false archived:false

github · term 4 AI "AI content creation" in:name,description,readme fork:false archived:false

github · term 5 AI "co-creative AI" in:name,description,readme fork:false archived:false

github · term 6 AI "AI-assisted writing" in:name,description,readme fork:false archived:false

github · term 7 AI "AI-assisted design" in:name,description,readme fork:false archived:false

github · term 8 AI "multimodal content creation" in:name,description,readme fork:false archived:false

github · term 9 AI "creative collaboration" in:name,description,readme fork:false archived:false

github · term 10 AI "content enhancement" in:name,description,readme fork:false archived:false

Profile c7aa5469560d7c47

Alignment descriptor draft

Outcomes

Can produce text, images or media with AI and edit the result into their own work.
Can iterate with an AI tool to improve a piece of content.
Can acknowledge AI's contribution and respect rights in co-created content.

Develops it

Practical material on creating content with AI — drafting, illustrating, editing — where the learner produces and revises something.

Only mentions it

A demo that generates an image or a paragraph to show what a model can do.

Alignment terms

ai-generated imagesai writing assistantcontent generationimage editing with aico-creation

Read in a resource's text beside the domain group. They are never compiled into a search.

Neighbours

D25 AI & Creative Problem Solving: D25 uses AI to solve problems creatively; D11 produces content.
D21 AI-Enhanced Communication: D21 adapts communication across languages and formats; D11 creates new content.

Descriptor f5e36f1318af

D12 Digital · Knowledge · Advanced

AI System Transparency

Evaluate explainability and transparency of AI systems

Alignment

2 resources likely to contribute to it or develop it

0 decided at level 2 or 3 · 2 not decided yet, more likely than not

On a graded sample, 7 pairs were graded 2 or 3 for it, and the map counts 0. The figure above is a blind spot of the alignment: the library holds more for it than the map shows.

Retrieval

0 resources harvested by searching its terms

Never searched yet.

Search vocabulary

Domain group

AI transparencyalgorithmic transparencyexplainabilityinterpretable AIalgorithmic opacityAI decision traceabilityblack box systemsmodel explanationstransparency assessment

Zenodo and arXiv take the whole group in one query. GitHub takes one phrase at a time and works left to right, stopping once the competency is satisfied — so on that lane this order decides which terms actually run.

The compiled queries

zenodo

("artificial intelligence" OR "machine learning" OR "generative AI" OR "deep learning" OR "reinforcement learning" OR "large language model" OR "AI") AND ("AI transparency" OR "algorithmic transparency" OR "explainability" OR "interpretable AI" OR "algorithmic opacity" OR "AI decision traceability" OR "black box systems" OR "model explanations" OR "transparency assessment")

arxiv

(all:"artificial intelligence" OR all:"machine learning" OR all:"generative AI" OR all:"deep learning" OR all:"reinforcement learning" OR all:"large language model") AND (all:"AI transparency" OR all:"algorithmic transparency" OR all:"explainability" OR all:"interpretable AI" OR all:"algorithmic opacity" OR all:"AI decision traceability" OR all:"black box systems" OR all:"model explanations" OR all:"transparency assessment")

github · term 1 AI "AI transparency" in:name,description,readme fork:false archived:false

github · term 2 AI "algorithmic transparency" in:name,description,readme fork:false archived:false

github · term 3 AI "explainability" in:name,description,readme fork:false archived:false

github · term 4 AI "interpretable AI" in:name,description,readme fork:false archived:false

github · term 5 AI "algorithmic opacity" in:name,description,readme fork:false archived:false

github · term 6 AI "AI decision traceability" in:name,description,readme fork:false archived:false

github · term 7 AI "black box systems" in:name,description,readme fork:false archived:false

github · term 8 AI "model explanations" in:name,description,readme fork:false archived:false

github · term 9 AI "transparency assessment" in:name,description,readme fork:false archived:false

Profile 064f75bc422c8487

Alignment descriptor draft

Outcomes

Can explain why the opacity of some AI systems is a problem, and for whom.
Can assess how transparent and explainable a given AI system is.
Can ask the right questions about how an AI decision was reached.

Develops it

Material that explains transparency and explainability as properties to evaluate — black boxes, explanations, documentation such as model cards — with cases to assess.

Only mentions it

A passing reference to 'black box models' in a text about something else.

Alignment terms

model cardsblack boxmodel transparencyexplainability requirementsright to explanation

Read in a resource's text beside the domain group. They are never compiled into a search.

Neighbours

T18 Explainable AI (XAI): T18 implements explanation techniques such as SHAP and LIME; D12 evaluates transparency.
R27 Human Agency & Oversight Strategy: R27 designs human oversight; D12 assesses whether a system can be understood.
T22 Responsible AI Development: T22 builds transparency into development; D12 judges it from outside.

Descriptor 48779ed3bb8d

D13 Digital · Knowledge · Intermediate

NLP Awareness

Understand how AI processes and generates human language

Alignment

14 resources likely to contribute to it or develop it

0 decided at level 2 or 3 · 14 not decided yet, more likely than not

On a graded sample, 5 pairs were graded 2 or 3 for it, and the map counts 2.

Retrieval

0 resources harvested by searching its terms

Never searched yet.

Search vocabulary

Domain group

natural language processinghuman language processinglanguage understandinglanguage modelsspeech recognitiontext classificationlanguage generationsentiment analysismachine translationcomputational linguistics

Zenodo and arXiv take the whole group in one query. GitHub takes one phrase at a time and works left to right, stopping once the competency is satisfied — so on that lane this order decides which terms actually run.

The compiled queries

zenodo

("artificial intelligence" OR "machine learning" OR "generative AI" OR "deep learning" OR "reinforcement learning" OR "large language model" OR "AI") AND ("natural language processing" OR "human language processing" OR "language understanding" OR "language models" OR "speech recognition" OR "text classification" OR "language generation" OR "sentiment analysis" OR "machine translation" OR "computational linguistics")

arxiv

(all:"artificial intelligence" OR all:"machine learning" OR all:"generative AI" OR all:"deep learning" OR all:"reinforcement learning" OR all:"large language model") AND (all:"natural language processing" OR all:"human language processing" OR all:"language understanding" OR all:"language models" OR all:"speech recognition" OR all:"text classification" OR all:"language generation" OR all:"sentiment analysis" OR all:"machine translation" OR all:"computational linguistics")

github · term 1 AI "natural language processing" in:name,description,readme fork:false archived:false

github · term 2 AI "human language processing" in:name,description,readme fork:false archived:false

github · term 3 AI "language understanding" in:name,description,readme fork:false archived:false

github · term 4 AI "language models" in:name,description,readme fork:false archived:false

github · term 5 AI "speech recognition" in:name,description,readme fork:false archived:false

github · term 6 AI "text classification" in:name,description,readme fork:false archived:false

github · term 7 AI "language generation" in:name,description,readme fork:false archived:false

github · term 8 AI "sentiment analysis" in:name,description,readme fork:false archived:false

github · term 9 AI "machine translation" in:name,description,readme fork:false archived:false

github · term 10 AI "computational linguistics" in:name,description,readme fork:false archived:false

Profile 05afbf6dae293fe4

Alignment descriptor draft

Outcomes

Can explain how computers process and generate human language, in broad terms.
Can describe common NLP tasks: classification, sentiment, translation, speech, generation.
Can recognise NLP in everyday applications and its typical failures.

Develops it

An introductory lesson on how language technology works — tokens, models, tasks — aimed at understanding rather than building.

Only mentions it

An NLP library imported in a notebook about another subject, or a list of NLP tasks in an overview.

Alignment terms

tokenizationtokenisationword embeddingsbag of wordslanguage modelspeech-to-texttext analytics

Read in a resource's text beside the domain group. They are never compiled into a search.

Neighbours

T03 NLP Engineering: T03 builds and fine-tunes NLP systems; D13 is understanding them.
D21 AI-Enhanced Communication: D21 uses AI to communicate across languages; D13 explains how language processing works.

Descriptor b8529cd4e73d

D14 Digital · Knowledge · Intermediate

Computer Vision Awareness

Recognize AI applications in image recognition and generation

Alignment

9 resources likely to contribute to it or develop it

0 decided at level 2 or 3 · 9 not decided yet, more likely than not

On a graded sample, 5 pairs were graded 2 or 3 for it, and the map counts 1.

Retrieval

0 resources harvested by searching its terms

Never searched yet.

Search vocabulary

Domain group

computer visionimage recognitionimage classificationobject detectionimage generationvisual AImachine perception

Zenodo and arXiv take the whole group in one query. GitHub takes one phrase at a time and works left to right, stopping once the competency is satisfied — so on that lane this order decides which terms actually run.

The compiled queries

zenodo

("artificial intelligence" OR "machine learning" OR "generative AI" OR "deep learning" OR "reinforcement learning" OR "large language model" OR "AI") AND ("computer vision" OR "image recognition" OR "image classification" OR "object detection" OR "image generation" OR "visual AI" OR "machine perception")

arxiv

(all:"artificial intelligence" OR all:"machine learning" OR all:"generative AI" OR all:"deep learning" OR all:"reinforcement learning" OR all:"large language model") AND (all:"computer vision" OR all:"image recognition" OR all:"image classification" OR all:"object detection" OR all:"image generation" OR all:"visual AI" OR all:"machine perception")

github · term 1 AI "computer vision" in:name,description,readme fork:false archived:false

github · term 2 AI "image recognition" in:name,description,readme fork:false archived:false

github · term 3 AI "image classification" in:name,description,readme fork:false archived:false

github · term 4 AI "object detection" in:name,description,readme fork:false archived:false

github · term 5 AI "image generation" in:name,description,readme fork:false archived:false

github · term 6 AI "visual AI" in:name,description,readme fork:false archived:false

github · term 7 AI "machine perception" in:name,description,readme fork:false archived:false

Profile 25a56e64b817d597

Alignment descriptor draft

Outcomes

Can explain how AI recognises and generates images, in broad terms.
Can name computer vision applications and their limitations.
Can recognise risks such as misclassification and synthetic images.

Develops it

An introduction to computer vision for understanding — how images are represented, classified and generated — with examples and simple activities.

Only mentions it

An image used in a notebook about another subject, or a vision library listed among dependencies.

Alignment terms

image recognitionface recognitionimage captioningoptical character recognitionhow computers see

Read in a resource's text beside the domain group. They are never compiled into a search.

Neighbours

T04 Computer Vision Development: T04 builds and deploys vision systems; D14 is recognising and understanding them.
D08 Generative AI Literacy: D08 covers image generation as one generative capability; D14 covers vision as a whole.

Descriptor b519e403b6d3

D15 Digital · Skill · Intermediate

AI & Information Verification

Use AI and critical thinking to detect mis/disinformation

Alignment

0 resources likely to contribute to it or develop it

None found yet in what the alignment has read.

On a graded sample, 3 pairs were graded 2 or 3 for it, and the map counts 0.

Retrieval

0 resources harvested by searching its terms

Never searched yet.

Search vocabulary

Domain group

information verificationmisinformation detectiondisinformation detectionfact checkingsource credibilitysource verificationcross-referencing reliable sourcesmedia literacycontent provenancesynthetic media detectiondeepfake detection

Zenodo and arXiv take the whole group in one query. GitHub takes one phrase at a time and works left to right, stopping once the competency is satisfied — so on that lane this order decides which terms actually run.

The compiled queries

zenodo

("artificial intelligence" OR "machine learning" OR "generative AI" OR "deep learning" OR "reinforcement learning" OR "large language model" OR "AI") AND ("information verification" OR "misinformation detection" OR "disinformation detection" OR "fact checking" OR "source credibility" OR "source verification" OR "cross-referencing reliable sources" OR "media literacy" OR "content provenance" OR "synthetic media detection" OR "deepfake detection")

arxiv

(all:"artificial intelligence" OR all:"machine learning" OR all:"generative AI" OR all:"deep learning" OR all:"reinforcement learning" OR all:"large language model") AND (all:"information verification" OR all:"misinformation detection" OR all:"disinformation detection" OR all:"fact checking" OR all:"source credibility" OR all:"source verification" OR all:"cross-referencing reliable sources" OR all:"media literacy" OR all:"content provenance" OR all:"synthetic media detection" OR all:"deepfake detection")

github · term 1 AI "information verification" in:name,description,readme fork:false archived:false

github · term 2 AI "misinformation detection" in:name,description,readme fork:false archived:false

github · term 3 AI "disinformation detection" in:name,description,readme fork:false archived:false

github · term 4 AI "fact checking" in:name,description,readme fork:false archived:false

github · term 5 AI "source credibility" in:name,description,readme fork:false archived:false

github · term 6 AI "source verification" in:name,description,readme fork:false archived:false

github · term 7 AI "cross-referencing reliable sources" in:name,description,readme fork:false archived:false

github · term 8 AI "media literacy" in:name,description,readme fork:false archived:false

github · term 9 AI "content provenance" in:name,description,readme fork:false archived:false

github · term 10 AI "synthetic media detection" in:name,description,readme fork:false archived:false

github · term 11 AI "deepfake detection" in:name,description,readme fork:false archived:false

Profile a0dbefafc8016b2f

Alignment descriptor draft

Outcomes

Can check the credibility of sources and cross-reference claims.
Can recognise synthetic media and other signs of manipulated content.
Can use AI tools, critically, to support verification.

Develops it

Material on detecting misinformation and disinformation — source checks, deepfakes, provenance — with practice on real or realistic examples.

Only mentions it

A note that 'deepfakes exist' in a text about image generation.

Alignment terms

misinformationdisinformationdeepfakedeepfakesfact-checkingprovenancec2pa

Read in a resource's text beside the domain group. They are never compiled into a search.

False friends

email verificationidentity verification

A term found beside one of these is read as another sense of the words, not as this competency.

Neighbours

D05 AI Output Evaluation: D05 evaluates AI outputs; D15 verifies information wherever it comes from.
D17 AI Safety & Security: D17 is security risks to AI systems; D15 is protecting people from false information.

Descriptor 3458af4979e1

D16 Digital · Skill · Foundation

Data Privacy in AI Contexts

Apply data protection principles when using AI systems

Alignment

8 resources likely to contribute to it or develop it

0 decided at level 2 or 3 · 8 not decided yet, more likely than not

On a graded sample, 8 pairs were graded 2 or 3 for it, and the map counts 5.

Retrieval

0 resources harvested by searching its terms

Never searched yet.

Search vocabulary

Domain group

data privacydata protectionpersonal data processingpersonal data collectionprivacy settingsconsent managementprivacy preservingGDPRdata minimisationdata minimizationprivacy risk

Zenodo and arXiv take the whole group in one query. GitHub takes one phrase at a time and works left to right, stopping once the competency is satisfied — so on that lane this order decides which terms actually run.

The compiled queries

zenodo

("artificial intelligence" OR "machine learning" OR "generative AI" OR "deep learning" OR "reinforcement learning" OR "large language model" OR "AI") AND ("data privacy" OR "data protection" OR "personal data processing" OR "personal data collection" OR "privacy settings" OR "consent management" OR "privacy preserving" OR "GDPR" OR "data minimisation" OR "data minimization" OR "privacy risk")

arxiv

(all:"artificial intelligence" OR all:"machine learning" OR all:"generative AI" OR all:"deep learning" OR all:"reinforcement learning" OR all:"large language model") AND (all:"data privacy" OR all:"data protection" OR all:"personal data processing" OR all:"personal data collection" OR all:"privacy settings" OR all:"consent management" OR all:"privacy preserving" OR all:"GDPR" OR all:"data minimisation" OR all:"data minimization" OR all:"privacy risk")

github · term 1 AI "data privacy" in:name,description,readme fork:false archived:false

github · term 2 AI "data protection" in:name,description,readme fork:false archived:false

github · term 3 AI "personal data processing" in:name,description,readme fork:false archived:false

github · term 4 AI "personal data collection" in:name,description,readme fork:false archived:false

github · term 5 AI "privacy settings" in:name,description,readme fork:false archived:false

github · term 6 AI "consent management" in:name,description,readme fork:false archived:false

github · term 7 AI "privacy preserving" in:name,description,readme fork:false archived:false

github · term 8 AI "GDPR" in:name,description,readme fork:false archived:false

github · term 9 AI "data minimisation" in:name,description,readme fork:false archived:false

github · term 10 AI "data minimization" in:name,description,readme fork:false archived:false

github · term 11 AI "privacy risk" in:name,description,readme fork:false archived:false

Profile 7395a8518033e5c2

Alignment descriptor draft

Outcomes

Can identify personal data in an AI workflow and the risks of processing it.
Can apply principles such as minimisation, purpose limitation and consent.
Can configure tools and practices that protect privacy when using AI.

Develops it

Material on protecting personal data when using AI — GDPR principles, anonymisation, consent, privacy settings — with practice applying them to cases or code.

Only mentions it

A footer link to a privacy statement, or a passing instruction not to paste secrets into a chatbot.

Alignment terms

personal dataanonymisationanonymizationpseudonymisationpseudonymizationdifferential privacypiipersonally identifiable information

Read in a resource's text beside the domain group. They are never compiled into a search.

False friends

privacy statementprivacy policy

A term found beside one of these is read as another sense of the words, not as this competency.

Neighbours

G09 Eco-friendly Data Management: G09 minimises data for sustainability; D16 for privacy.
D17 AI Safety & Security: D17 is security threats to AI; D16 is protection of personal data.
D19 AI Regulatory Awareness: D19 is the AI Act's risk classes; D16 applies data protection principles.

Descriptor 979b5360aa0e

D17 Digital · Knowledge · Intermediate

AI Safety & Security

Recognize cybersecurity risks associated with AI deployment

Alignment

6 resources likely to contribute to it or develop it

0 decided at level 2 or 3 · 6 not decided yet, more likely than not

On a graded sample, 4 pairs were graded 2 or 3 for it, and the map counts 2.

Retrieval

0 resources harvested by searching its terms

Never searched yet.

Search vocabulary

Domain group

AI safetyAI securityadversarial attacksprompt injectionmodel securitycybersecurity risksecure AIAI threat

Zenodo and arXiv take the whole group in one query. GitHub takes one phrase at a time and works left to right, stopping once the competency is satisfied — so on that lane this order decides which terms actually run.

The compiled queries

zenodo

("artificial intelligence" OR "machine learning" OR "generative AI" OR "deep learning" OR "reinforcement learning" OR "large language model" OR "AI") AND ("AI safety" OR "AI security" OR "adversarial attacks" OR "prompt injection" OR "model security" OR "cybersecurity risk" OR "secure AI" OR "AI threat")

arxiv

(all:"artificial intelligence" OR all:"machine learning" OR all:"generative AI" OR all:"deep learning" OR all:"reinforcement learning" OR all:"large language model") AND (all:"AI safety" OR all:"AI security" OR all:"adversarial attacks" OR all:"prompt injection" OR all:"model security" OR all:"cybersecurity risk" OR all:"secure AI" OR all:"AI threat")

github · term 1 AI "AI safety" in:name,description,readme fork:false archived:false

github · term 2 AI "AI security" in:name,description,readme fork:false archived:false

github · term 3 AI "adversarial attacks" in:name,description,readme fork:false archived:false

github · term 4 AI "prompt injection" in:name,description,readme fork:false archived:false

github · term 5 AI "model security" in:name,description,readme fork:false archived:false

github · term 6 AI "cybersecurity risk" in:name,description,readme fork:false archived:false

github · term 7 AI "secure AI" in:name,description,readme fork:false archived:false

github · term 8 AI "AI threat" in:name,description,readme fork:false archived:false

Profile 87d8ce95bfaaea0b

Alignment descriptor draft

Outcomes

Can recognise attacks on AI systems: prompt injection, data poisoning, adversarial examples.
Can explain the security risks of deploying AI and how they are mitigated.
Can apply basic safeguards when building or using AI applications.

Develops it

Material on AI security — threats, attacks, mitigations — with examples and, for builders, practice in defending an application.

Only mentions it

A repository's standard security policy for reporting vulnerabilities, or a note to keep API keys secret.

Alignment terms

prompt injectionjailbreakdata poisoningadversarial examplered teamingguardrailscontent filtering

Read in a resource's text beside the domain group. They are never compiled into a search.

False friends

security response centerreporting security issues

A term found beside one of these is read as another sense of the words, not as this competency.

Neighbours

R25 Resilient AI Systems Design: R25 builds robust, fault-tolerant systems; D17 recognises security risks.
D16 Data Privacy in AI Contexts: D16 protects personal data; D17 protects AI systems from attack.

Descriptor ea2cc2b5ab97

D18 Digital · Skill · Advanced

AI & Accessibility

Leverage AI for inclusive and accessible digital experiences

Alignment

0 resources likely to contribute to it or develop it

None found yet in what the alignment has read.

What the map misses here is not measured: the graded sample holds no pair graded 2 or 3 for it.

Retrieval

0 resources harvested by searching its terms

Never searched yet.

Search vocabulary

Domain group

digital accessibilityassistive technologyinclusive designaccessible digital contentaccessible AIadaptive interfacevoice control accessibilitydisability inclusionuniversal designWCAGAI accessibility

Zenodo and arXiv take the whole group in one query. GitHub takes one phrase at a time and works left to right, stopping once the competency is satisfied — so on that lane this order decides which terms actually run.

The compiled queries

zenodo

("artificial intelligence" OR "machine learning" OR "generative AI" OR "deep learning" OR "reinforcement learning" OR "large language model" OR "AI") AND ("digital accessibility" OR "assistive technology" OR "inclusive design" OR "accessible digital content" OR "accessible AI" OR "adaptive interface" OR "voice control accessibility" OR "disability inclusion" OR "universal design" OR "WCAG" OR "AI accessibility")

arxiv

(all:"artificial intelligence" OR all:"machine learning" OR all:"generative AI" OR all:"deep learning" OR all:"reinforcement learning" OR all:"large language model") AND (all:"digital accessibility" OR all:"assistive technology" OR all:"inclusive design" OR all:"accessible digital content" OR all:"accessible AI" OR all:"adaptive interface" OR all:"voice control accessibility" OR all:"disability inclusion" OR all:"universal design" OR all:"WCAG" OR all:"AI accessibility")

github · term 1 AI "digital accessibility" in:name,description,readme fork:false archived:false

github · term 2 AI "assistive technology" in:name,description,readme fork:false archived:false

github · term 3 AI "inclusive design" in:name,description,readme fork:false archived:false

github · term 4 AI "accessible digital content" in:name,description,readme fork:false archived:false

github · term 5 AI "accessible AI" in:name,description,readme fork:false archived:false

github · term 6 AI "adaptive interface" in:name,description,readme fork:false archived:false

github · term 7 AI "voice control accessibility" in:name,description,readme fork:false archived:false

github · term 8 AI "disability inclusion" in:name,description,readme fork:false archived:false

github · term 9 AI "universal design" in:name,description,readme fork:false archived:false

github · term 10 AI "WCAG" in:name,description,readme fork:false archived:false

github · term 11 AI "AI accessibility" in:name,description,readme fork:false archived:false

Profile 8ad6cb0aec288b75

Alignment descriptor draft

Outcomes

Can use AI to make digital content more accessible: captions, alt text, simplification.
Can apply accessibility guidelines when designing with AI.
Can recognise where AI tools exclude users with disabilities.

Develops it

Material on accessibility with AI — assistive technology, accessible content, inclusive design — with practice producing or checking accessible material.

Only mentions it

An alt attribute on an image, or a sentence promising that an app is accessible.

Alignment terms

alt textscreen readerclosed captionswcagassistive technologiesaccessibility guidelines

Read in a resource's text beside the domain group. They are never compiled into a search.

Neighbours

D21 AI-Enhanced Communication: D21 adapts communication in general; D18 is access for people with disabilities.
D11 Digital Content Co-creation: D11 creates content with AI; D18 makes it accessible.

Descriptor 1673b89a8b6d

D19 Digital · Knowledge · Intermediate

AI Regulatory Awareness

Understand EU AI Act risk classification and compliance

Alignment

1 resource likely to contribute to it or develop it

0 decided at level 2 or 3 · 1 not decided yet, more likely than not

On a graded sample, 1 pair was graded 2 or 3 for it, and the map counts 0.

Retrieval

0 resources harvested by searching its terms

Never searched yet.

Search vocabulary

Domain group

EU AI ActAI regulationrisk classificationregulatory compliancehigh-risk AIprohibited AI practicesconformity assessment

Zenodo and arXiv take the whole group in one query. GitHub takes one phrase at a time and works left to right, stopping once the competency is satisfied — so on that lane this order decides which terms actually run.

The compiled queries

zenodo

("artificial intelligence" OR "machine learning" OR "generative AI" OR "deep learning" OR "reinforcement learning" OR "large language model" OR "AI") AND ("EU AI Act" OR "AI regulation" OR "risk classification" OR "regulatory compliance" OR "high-risk AI" OR "prohibited AI practices" OR "conformity assessment")

arxiv

(all:"artificial intelligence" OR all:"machine learning" OR all:"generative AI" OR all:"deep learning" OR all:"reinforcement learning" OR all:"large language model") AND (all:"EU AI Act" OR all:"AI regulation" OR all:"risk classification" OR all:"regulatory compliance" OR all:"high-risk AI" OR all:"prohibited AI practices" OR all:"conformity assessment")

github · term 1 AI "EU AI Act" in:name,description,readme fork:false archived:false

github · term 2 AI "AI regulation" in:name,description,readme fork:false archived:false

github · term 3 AI "risk classification" in:name,description,readme fork:false archived:false

github · term 4 AI "regulatory compliance" in:name,description,readme fork:false archived:false

github · term 5 AI "high-risk AI" in:name,description,readme fork:false archived:false

github · term 6 AI "prohibited AI practices" in:name,description,readme fork:false archived:false

github · term 7 AI "conformity assessment" in:name,description,readme fork:false archived:false

Profile ec42619d8ff7b7c3

Alignment descriptor draft

Outcomes

Can explain the EU AI Act's risk categories and give examples of each.
Can identify the obligations that apply to a given AI system.
Can recognise prohibited practices and high-risk uses.

Develops it

Material that explains the AI Act — risk classes, obligations, prohibited practices — with cases the learner classifies.

Only mentions it

A sentence noting that AI is increasingly regulated.

Alignment terms

ai actartificial intelligence acthigh-risk ai systemsrisk-based approachgeneral-purpose aitransparency obligations

Read in a resource's text beside the domain group. They are never compiled into a search.

False friends

credit risk

A term found beside one of these is read as another sense of the words, not as this competency.

Neighbours

R23 Regulatory Navigation for AI: R23 navigates regulation in a business; D19 understands the AI Act's classification.
R27 Human Agency & Oversight Strategy: R27 designs oversight under Article 14; D19 is the regulation as a whole.
D24 AI Impact Assessment: D24 assesses societal impact; D19 legal classification.

Descriptor 59e69361acbc

D21 Digital · Skill · Intermediate

AI-Enhanced Communication

Use AI to improve communication across languages and formats

Alignment

2 resources likely to contribute to it or develop it

0 decided at level 2 or 3 · 2 not decided yet, more likely than not

What the map misses here is not measured: the graded sample holds no pair graded 2 or 3 for it.

Retrieval

0 resources harvested by searching its terms

Never searched yet.

Search vocabulary

Domain group

AI-enhanced communicationmultilingual communicationcross-language communicationaudience-adapted communicationcommunication adaptationAI translationmachine translationspeech to textplain language conversionaccessible communicationformat conversion

Zenodo and arXiv take the whole group in one query. GitHub takes one phrase at a time and works left to right, stopping once the competency is satisfied — so on that lane this order decides which terms actually run.

The compiled queries

zenodo

("artificial intelligence" OR "machine learning" OR "generative AI" OR "deep learning" OR "reinforcement learning" OR "large language model" OR "AI") AND ("AI-enhanced communication" OR "multilingual communication" OR "cross-language communication" OR "audience-adapted communication" OR "communication adaptation" OR "AI translation" OR "machine translation" OR "speech to text" OR "plain language conversion" OR "accessible communication" OR "format conversion")

arxiv

(all:"artificial intelligence" OR all:"machine learning" OR all:"generative AI" OR all:"deep learning" OR all:"reinforcement learning" OR all:"large language model") AND (all:"AI-enhanced communication" OR all:"multilingual communication" OR all:"cross-language communication" OR all:"audience-adapted communication" OR all:"communication adaptation" OR all:"AI translation" OR all:"machine translation" OR all:"speech to text" OR all:"plain language conversion" OR all:"accessible communication" OR all:"format conversion")

github · term 1 AI "AI-enhanced communication" in:name,description,readme fork:false archived:false

github · term 2 AI "multilingual communication" in:name,description,readme fork:false archived:false

github · term 3 AI "cross-language communication" in:name,description,readme fork:false archived:false

github · term 4 AI "audience-adapted communication" in:name,description,readme fork:false archived:false

github · term 5 AI "communication adaptation" in:name,description,readme fork:false archived:false

github · term 6 AI "AI translation" in:name,description,readme fork:false archived:false

github · term 7 AI "machine translation" in:name,description,readme fork:false archived:false

github · term 8 AI "speech to text" in:name,description,readme fork:false archived:false

github · term 9 AI "plain language conversion" in:name,description,readme fork:false archived:false

github · term 10 AI "accessible communication" in:name,description,readme fork:false archived:false

github · term 11 AI "format conversion" in:name,description,readme fork:false archived:false

Profile facc2aba9e3479d3

Alignment descriptor draft

Outcomes

Can use AI to translate, summarise or reformat a message for another audience.
Can check AI-translated or adapted text for meaning and tone.
Can choose formats and channels that AI can help produce.

Develops it

Practical material on using AI to communicate — translation, plain language, transcription, adaptation to an audience — where the learner produces and checks such material.

Only mentions it

A notice that a document was machine-translated, or a lesson on how translation models work.

Alignment terms

machine-translatedmultilingualtranscriptionplain languagetone adaptation

Read in a resource's text beside the domain group. They are never compiled into a search.

False friends

co op translatortranslated using the ai translation servicetranslated using ai translation service

A term found beside one of these is read as another sense of the words, not as this competency.

Neighbours

D13 NLP Awareness: D13 explains how language processing works; D21 uses AI to communicate.
T03 NLP Engineering: T03 builds translation and NLP systems; D21 uses them.
D18 AI & Accessibility: D18 is access for people with disabilities; D21 is communication across languages and formats.

Descriptor e03c753c88d3

D22 Digital · Attitude · Foundation

Responsible AI Use Mindset

Identify ethical risks in concrete AI workflows and choose human-in-the-loop alternatives where appropriate

Alignment

3 resources likely to contribute to it or develop it

0 decided at level 2 or 3 · 3 not decided yet, more likely than not

On a graded sample, 12 pairs were graded 2 or 3 for it, and the map counts 1. The figure above is a blind spot of the alignment: the library holds more for it than the map shows.

Retrieval

0 resources harvested by searching its terms

Never searched yet.

Search vocabulary

Domain group

responsible AI useethical AI usehuman-centred AI usehuman-centered AI usehuman in the loopethical risk in AI workflowresponsible AI workflowcontest AI outputoverride AI output

Zenodo and arXiv take the whole group in one query. GitHub takes one phrase at a time and works left to right, stopping once the competency is satisfied — so on that lane this order decides which terms actually run.

The compiled queries

zenodo

("artificial intelligence" OR "machine learning" OR "generative AI" OR "deep learning" OR "reinforcement learning" OR "large language model" OR "AI") AND ("responsible AI use" OR "ethical AI use" OR "human-centred AI use" OR "human-centered AI use" OR "human in the loop" OR "ethical risk in AI workflow" OR "responsible AI workflow" OR "contest AI output" OR "override AI output")

arxiv

(all:"artificial intelligence" OR all:"machine learning" OR all:"generative AI" OR all:"deep learning" OR all:"reinforcement learning" OR all:"large language model") AND (all:"responsible AI use" OR all:"ethical AI use" OR all:"human-centred AI use" OR all:"human-centered AI use" OR all:"human in the loop" OR all:"ethical risk in AI workflow" OR all:"responsible AI workflow" OR all:"contest AI output" OR all:"override AI output")

github · term 1 AI "responsible AI use" in:name,description,readme fork:false archived:false

github · term 2 AI "ethical AI use" in:name,description,readme fork:false archived:false

github · term 3 AI "human-centred AI use" in:name,description,readme fork:false archived:false

github · term 4 AI "human-centered AI use" in:name,description,readme fork:false archived:false

github · term 5 AI "human in the loop" in:name,description,readme fork:false archived:false

github · term 6 AI "ethical risk in AI workflow" in:name,description,readme fork:false archived:false

github · term 7 AI "responsible AI workflow" in:name,description,readme fork:false archived:false

github · term 8 AI "contest AI output" in:name,description,readme fork:false archived:false

github · term 9 AI "override AI output" in:name,description,readme fork:false archived:false

Profile 6ff216b780167a40

Alignment descriptor draft

Outcomes

Can identify ethical risks in a concrete AI workflow.
Can choose human-in-the-loop alternatives where AI should not decide alone.
Can contest or override an AI output when it is wrong or unfair.

Develops it

Material that works through responsible use of AI in real tasks — risks, safeguards, when to keep a human in the loop — through cases and reflection.

Only mentions it

A closing paragraph urging readers to 'use AI responsibly', or a link to a responsible AI policy.

Alignment terms

responsible aiethical use of aiai ethicshuman oversightresponsible use

Read in a resource's text beside the domain group. They are never compiled into a search.

Neighbours

T22 Responsible AI Development: T22 is responsible development by builders; D22 is responsible use.
D07 AI-Augmented Decision Making: D07 keeps a human in the loop for decision quality; D22 for ethics.
R15 AI Ethics in Entrepreneurship: R15 applies ethics to commercial deployment; D22 to everyday use.

Descriptor e0d94b6a91fe

D23 Digital · Skill · Advanced

AI Workflow Integration

Embed AI tools into professional and educational workflows

Alignment

0 resources likely to contribute to it or develop it

None found yet in what the alignment has read.

On a graded sample, 5 pairs were graded 2 or 3 for it, and the map counts 0. The figure above is a blind spot of the alignment: the library holds more for it than the map shows.

Retrieval

0 resources harvested by searching its terms

Never searched yet.

Search vocabulary

Domain group

AI workflow integrationworkflow automationAI-enabled workflowbusiness process integrationeducational workflowprofessional workflowAI adoption workflow

Zenodo and arXiv take the whole group in one query. GitHub takes one phrase at a time and works left to right, stopping once the competency is satisfied — so on that lane this order decides which terms actually run.

The compiled queries

zenodo

("artificial intelligence" OR "machine learning" OR "generative AI" OR "deep learning" OR "reinforcement learning" OR "large language model" OR "AI") AND ("AI workflow integration" OR "workflow automation" OR "AI-enabled workflow" OR "business process integration" OR "educational workflow" OR "professional workflow" OR "AI adoption workflow")

arxiv

(all:"artificial intelligence" OR all:"machine learning" OR all:"generative AI" OR all:"deep learning" OR all:"reinforcement learning" OR all:"large language model") AND (all:"AI workflow integration" OR all:"workflow automation" OR all:"AI-enabled workflow" OR all:"business process integration" OR all:"educational workflow" OR all:"professional workflow" OR all:"AI adoption workflow")

github · term 1 AI "AI workflow integration" in:name,description,readme fork:false archived:false

github · term 2 AI "workflow automation" in:name,description,readme fork:false archived:false

github · term 3 AI "AI-enabled workflow" in:name,description,readme fork:false archived:false

github · term 4 AI "business process integration" in:name,description,readme fork:false archived:false

github · term 5 AI "educational workflow" in:name,description,readme fork:false archived:false

github · term 6 AI "professional workflow" in:name,description,readme fork:false archived:false

github · term 7 AI "AI adoption workflow" in:name,description,readme fork:false archived:false

Profile b10b541f6e7ba5ed

Alignment descriptor draft

Outcomes

Can embed AI tools into a professional or educational workflow.
Can redesign the steps of a workflow around what AI does well.
Can evaluate whether the integration actually improves the work.

Develops it

Material on integrating AI into everyday work processes, with examples of workflows before and after and practice designing one.

Only mentions it

A CI workflow file, or a tool described as fitting 'into your workflow'.

Alignment terms

ai in the workplaceai-powered workflowautomating tasks with aiproductivity toolslow-code automation

Read in a resource's text beside the domain group. They are never compiled into a search.

False friends

github actionsworkflow yml

A term found beside one of these is read as another sense of the words, not as this competency.

Neighbours

R14 Resilience Through Automation: R14 automates processes for resilience; D23 embeds AI into workflows.
R26 AI-Powered Process Optimisation: R26 optimises organisational processes with AI; D23 integrates tools into one's own work.
D09 AI Tools Selection: D09 chooses the tool; D23 builds it into the workflow.

Descriptor 84ca1215f02d

D24 Digital · Knowledge · Advanced

AI Impact Assessment

Evaluate societal, economic, and personal impact of AI

Alignment

3 resources likely to contribute to it or develop it

0 decided at level 2 or 3 · 3 not decided yet, more likely than not

On a graded sample, 8 pairs were graded 2 or 3 for it, and the map counts 1. The figure above is a blind spot of the alignment: the library holds more for it than the map shows.

Retrieval

0 resources harvested by searching its terms

Never searched yet.

Search vocabulary

Domain group

AI impact assessmentsocietal impacteconomic impactpersonal impactalgorithmic impact assessmentsocial consequencestechnology impact

Zenodo and arXiv take the whole group in one query. GitHub takes one phrase at a time and works left to right, stopping once the competency is satisfied — so on that lane this order decides which terms actually run.

Precision warnings

environmental impact

Recorded on a decision, never subtracted from it.

The compiled queries

zenodo

("artificial intelligence" OR "machine learning" OR "generative AI" OR "deep learning" OR "reinforcement learning" OR "large language model" OR "AI") AND ("AI impact assessment" OR "societal impact" OR "economic impact" OR "personal impact" OR "algorithmic impact assessment" OR "social consequences" OR "technology impact")

arxiv

(all:"artificial intelligence" OR all:"machine learning" OR all:"generative AI" OR all:"deep learning" OR all:"reinforcement learning" OR all:"large language model") AND (all:"AI impact assessment" OR all:"societal impact" OR all:"economic impact" OR all:"personal impact" OR all:"algorithmic impact assessment" OR all:"social consequences" OR all:"technology impact")

github · term 1 AI "AI impact assessment" in:name,description,readme fork:false archived:false

github · term 2 AI "societal impact" in:name,description,readme fork:false archived:false

github · term 3 AI "economic impact" in:name,description,readme fork:false archived:false

github · term 4 AI "personal impact" in:name,description,readme fork:false archived:false

github · term 5 AI "algorithmic impact assessment" in:name,description,readme fork:false archived:false

github · term 6 AI "social consequences" in:name,description,readme fork:false archived:false

github · term 7 AI "technology impact" in:name,description,readme fork:false archived:false

Profile f757db959c1c89a7

Alignment descriptor draft

Outcomes

Can assess the societal, economic and personal effects of an AI system.
Can weigh benefits against harms for different groups.
Can use or design an impact assessment for an AI application.

Develops it

Material on assessing AI's impact on society, the economy and individuals, with frameworks and cases the learner analyses.

Only mentions it

An opening sentence on how AI is 'transforming society'.

Alignment terms

impact assessmentsocietal impactlabour marketjob displacementdigital dividesocial impact of ai

Read in a resource's text beside the domain group. They are never compiled into a search.

False friends

data protection impact assessmentenvironmental impact

A term found beside one of these is read as another sense of the words, not as this competency.

Neighbours

G04 AI Lifecycle Sustainability: G04 assesses environmental impact over a lifecycle; D24 societal and economic impact.
R20 AI & Social Innovation: R20 applies AI for social good; D24 assesses impact.
D19 AI Regulatory Awareness: D19 is legal classification; D24 is impact.

Descriptor 511411f3b1c5

D25 Digital · Skill · Advanced

AI & Creative Problem Solving

Apply AI as a catalyst for innovative approaches to problems

Alignment

1 resource likely to contribute to it or develop it

0 decided at level 2 or 3 · 1 not decided yet, more likely than not

What the map misses here is not measured: the graded sample holds no pair graded 2 or 3 for it.

Retrieval

0 resources harvested by searching its terms

Never searched yet.

Search vocabulary

Domain group

creative problem solvingAI-assisted ideationexplore new perspectives with AIAI thought partnerAI-assisted prototypinginnovation methodsdesign thinkingcreative thinkingAI brainstormingproblem reframing

Zenodo and arXiv take the whole group in one query. GitHub takes one phrase at a time and works left to right, stopping once the competency is satisfied — so on that lane this order decides which terms actually run.

The compiled queries

zenodo

("artificial intelligence" OR "machine learning" OR "generative AI" OR "deep learning" OR "reinforcement learning" OR "large language model" OR "AI") AND ("creative problem solving" OR "AI-assisted ideation" OR "explore new perspectives with AI" OR "AI thought partner" OR "AI-assisted prototyping" OR "innovation methods" OR "design thinking" OR "creative thinking" OR "AI brainstorming" OR "problem reframing")

arxiv

(all:"artificial intelligence" OR all:"machine learning" OR all:"generative AI" OR all:"deep learning" OR all:"reinforcement learning" OR all:"large language model") AND (all:"creative problem solving" OR all:"AI-assisted ideation" OR all:"explore new perspectives with AI" OR all:"AI thought partner" OR all:"AI-assisted prototyping" OR all:"innovation methods" OR all:"design thinking" OR all:"creative thinking" OR all:"AI brainstorming" OR all:"problem reframing")

github · term 1 AI "creative problem solving" in:name,description,readme fork:false archived:false

github · term 2 AI "AI-assisted ideation" in:name,description,readme fork:false archived:false

github · term 3 AI "explore new perspectives with AI" in:name,description,readme fork:false archived:false

github · term 4 AI "AI thought partner" in:name,description,readme fork:false archived:false

github · term 5 AI "AI-assisted prototyping" in:name,description,readme fork:false archived:false

github · term 6 AI "innovation methods" in:name,description,readme fork:false archived:false

github · term 7 AI "design thinking" in:name,description,readme fork:false archived:false

github · term 8 AI "creative thinking" in:name,description,readme fork:false archived:false

github · term 9 AI "AI brainstorming" in:name,description,readme fork:false archived:false

github · term 10 AI "problem reframing" in:name,description,readme fork:false archived:false

Profile 1fccde09fee263de

Alignment descriptor draft

Outcomes

Can use AI to generate ideas and explore alternatives to a problem.
Can reframe a problem with AI's help and test new approaches.
Can judge which AI-generated ideas are worth pursuing.

Develops it

Material on creative problem solving with AI — ideation, reframing, prototyping — where the learner works a problem with AI as a partner.

Only mentions it

A suggestion to 'brainstorm with ChatGPT' in a list of tips.

Alignment terms

brainstormingideationdesign thinkingrapid prototypingcreative thinking

Read in a resource's text beside the domain group. They are never compiled into a search.

Neighbours

D11 Digital Content Co-creation: D11 produces content; D25 solves problems.
R10 AI & Innovation Management: R10 manages innovation in an organisation; D25 is individual creative problem solving.
D06 Algorithmic Thinking: D06 decomposes problems systematically; D25 explores them creatively.

Descriptor 24e2a8b0d5d9

D26 Digital · Skill · Intermediate

AI-Assisted Coding

Use AI assistants to draft, refactor and review code, including informal “vibe-coding” workflows; verify generated code for correctness, security and licensing

Alignment

3 resources likely to contribute to it or develop it

0 decided at level 2 or 3 · 3 not decided yet, more likely than not

What the map misses here is not measured: the graded sample holds no pair graded 2 or 3 for it.

Retrieval

0 resources harvested by searching its terms

Never searched yet.

Search vocabulary

Domain group

AI-assisted codingcoding assistantcode generationvibe codingAI code reviewcode refactoringgenerated code verificationsoftware copilot

Zenodo and arXiv take the whole group in one query. GitHub takes one phrase at a time and works left to right, stopping once the competency is satisfied — so on that lane this order decides which terms actually run.

The compiled queries

zenodo

("artificial intelligence" OR "machine learning" OR "generative AI" OR "deep learning" OR "reinforcement learning" OR "large language model" OR "AI") AND ("AI-assisted coding" OR "coding assistant" OR "code generation" OR "vibe coding" OR "AI code review" OR "code refactoring" OR "generated code verification" OR "software copilot")

arxiv

(all:"artificial intelligence" OR all:"machine learning" OR all:"generative AI" OR all:"deep learning" OR all:"reinforcement learning" OR all:"large language model") AND (all:"AI-assisted coding" OR all:"coding assistant" OR all:"code generation" OR all:"vibe coding" OR all:"AI code review" OR all:"code refactoring" OR all:"generated code verification" OR all:"software copilot")

github · term 1 AI "AI-assisted coding" in:name,description,readme fork:false archived:false

github · term 2 AI "coding assistant" in:name,description,readme fork:false archived:false

github · term 3 AI "code generation" in:name,description,readme fork:false archived:false

github · term 4 AI "vibe coding" in:name,description,readme fork:false archived:false

github · term 5 AI "AI code review" in:name,description,readme fork:false archived:false

github · term 6 AI "code refactoring" in:name,description,readme fork:false archived:false

github · term 7 AI "generated code verification" in:name,description,readme fork:false archived:false

github · term 8 AI "software copilot" in:name,description,readme fork:false archived:false

Profile 80fbfa2baf4f2083

Alignment descriptor draft

Outcomes

Can use an AI assistant to draft, refactor and explain code.
Can verify AI-generated code for correctness, security and licensing.
Can decide when AI-assisted coding helps and when it hides problems.

Develops it

Material on coding with AI assistants — prompting for code, reviewing and testing what comes back — with practice in a real coding task.

Only mentions it

Code that a tutorial says was written with an assistant, or a list of editor extensions.

Alignment terms

github copilotcode completionai pair programmingcode assistantgenerated code

Read in a resource's text beside the domain group. They are never compiled into a search.

Neighbours

T16 AI Programming Proficiency: T16 writes machine learning code in Python; D26 uses AI to write any code.
T08 AI & Software Integration: T08 integrates AI into software; D26 uses AI while writing software.
D04 AI Interaction & Prompting: D04 is prompting in general; D26 is coding with an assistant.

Descriptor 1354c3f374ba

D27 Digital · Skill · Intermediate

Working with AI Agents

Configure, supervise and bound the autonomy of AI agents performing multi-step tasks; recognise when to keep a human in the loop and how to inspect agent traces

Alignment

4 resources likely to contribute to it or develop it

0 decided at level 2 or 3 · 4 not decided yet, more likely than not

On a graded sample, 1 pair was graded 2 or 3 for it, and the map counts 1.

Retrieval

0 resources harvested by searching its terms

Never searched yet.

Search vocabulary

Domain group

AI agentsagentic AIautonomous agentsmulti-step tasksagent supervisionagent tracestool-using agentsbounded autonomyagent frameworkmulti-agent systemReAct agentreflection agentModel Context ProtocolMCP serverMCP clienttool calling

Zenodo and arXiv take the whole group in one query. GitHub takes one phrase at a time and works left to right, stopping once the competency is satisfied — so on that lane this order decides which terms actually run.

The compiled queries

zenodo

("artificial intelligence" OR "machine learning" OR "generative AI" OR "deep learning" OR "reinforcement learning" OR "large language model" OR "AI") AND ("AI agents" OR "agentic AI" OR "autonomous agents" OR "multi-step tasks" OR "agent supervision" OR "agent traces" OR "tool-using agents" OR "bounded autonomy" OR "agent framework" OR "multi-agent system" OR "ReAct agent" OR "reflection agent" OR "Model Context Protocol" OR "MCP server" OR "MCP client" OR "tool calling")

arxiv

(all:"artificial intelligence" OR all:"machine learning" OR all:"generative AI" OR all:"deep learning" OR all:"reinforcement learning" OR all:"large language model") AND (all:"AI agents" OR all:"agentic AI" OR all:"autonomous agents" OR all:"multi-step tasks" OR all:"agent supervision" OR all:"agent traces" OR all:"tool-using agents" OR all:"bounded autonomy" OR all:"agent framework" OR all:"multi-agent system" OR all:"ReAct agent" OR all:"reflection agent" OR all:"Model Context Protocol" OR all:"MCP server" OR all:"MCP client" OR all:"tool calling")

github · term 1 AI "AI agents" in:name,description,readme fork:false archived:false

github · term 2 AI "agentic AI" in:name,description,readme fork:false archived:false

github · term 3 AI "autonomous agents" in:name,description,readme fork:false archived:false

github · term 4 AI "multi-step tasks" in:name,description,readme fork:false archived:false

github · term 5 AI "agent supervision" in:name,description,readme fork:false archived:false

github · term 6 AI "agent traces" in:name,description,readme fork:false archived:false

github · term 7 AI "tool-using agents" in:name,description,readme fork:false archived:false

github · term 8 AI "bounded autonomy" in:name,description,readme fork:false archived:false

github · term 9 AI "agent framework" in:name,description,readme fork:false archived:false

github · term 10 AI "multi-agent system" in:name,description,readme fork:false archived:false

github · term 11 AI "ReAct agent" in:name,description,readme fork:false archived:false

github · term 12 AI "reflection agent" in:name,description,readme fork:false archived:false

github · term 13 AI "Model Context Protocol" in:name,description,readme fork:false archived:false

github · term 14 AI "MCP server" in:name,description,readme fork:false archived:false

github · term 15 AI "MCP client" in:name,description,readme fork:false archived:false

github · term 16 AI "tool calling" in:name,description,readme fork:false archived:false

Profile ab7327f7b0237cff

Alignment descriptor draft

Outcomes

Can configure an AI agent with tools, instructions and limits on its autonomy.
Can supervise a multi-step agent run and inspect its trace.
Can decide when an agent needs a human approval step.

Develops it

Material on building or operating AI agents — tools, planning, multi-agent setups, supervision and traces — where the learner configures and runs an agent.

Only mentions it

A passing reference to 'agentic AI' as a trend, or an agent framework listed among dependencies.

Alignment terms

ai agentagentic workflowagent orchestrationagent memoryhuman approval steptool use

Read in a resource's text beside the domain group. They are never compiled into a search.

False friends

user agent

A term found beside one of these is read as another sense of the words, not as this competency.

Neighbours

T08 AI & Software Integration: T08 integrates tools and APIs into software; D27 configures and supervises agents.
D10 Human-AI Collaboration: D10 divides work between people and AI; D27 bounds an agent's autonomy.
T05 Reinforcement Learning: T05's agents learn from rewards; D27's agents use models and tools to do tasks.

Descriptor bc77b822e27e

G01 Green · Knowledge · Foundation

AI Environmental Footprint

Understand energy consumption and carbon emissions of AI

Alignment

0 resources likely to contribute to it or develop it

None found yet in what the alignment has read.

What the map misses here is not measured: the graded sample holds no pair graded 2 or 3 for it.

Retrieval

0 resources harvested by searching its terms

Never searched yet.

Search vocabulary

Domain group

AI environmental footprintAI energy consumptionAI carbon emissionsenvironmental cost of AIcompute emissionsmodel energy useAI carbon footprint

Zenodo and arXiv take the whole group in one query. GitHub takes one phrase at a time and works left to right, stopping once the competency is satisfied — so on that lane this order decides which terms actually run.

The compiled queries

zenodo

("artificial intelligence" OR "machine learning" OR "generative AI" OR "deep learning" OR "reinforcement learning" OR "large language model" OR "AI") AND ("AI environmental footprint" OR "AI energy consumption" OR "AI carbon emissions" OR "environmental cost of AI" OR "compute emissions" OR "model energy use" OR "AI carbon footprint")

arxiv

(all:"artificial intelligence" OR all:"machine learning" OR all:"generative AI" OR all:"deep learning" OR all:"reinforcement learning" OR all:"large language model") AND (all:"AI environmental footprint" OR all:"AI energy consumption" OR all:"AI carbon emissions" OR all:"environmental cost of AI" OR all:"compute emissions" OR all:"model energy use" OR all:"AI carbon footprint")

github · term 1 AI "AI environmental footprint" in:name,description,readme fork:false archived:false

github · term 2 AI "AI energy consumption" in:name,description,readme fork:false archived:false

github · term 3 AI "AI carbon emissions" in:name,description,readme fork:false archived:false

github · term 4 AI "environmental cost of AI" in:name,description,readme fork:false archived:false

github · term 5 AI "compute emissions" in:name,description,readme fork:false archived:false

github · term 6 AI "model energy use" in:name,description,readme fork:false archived:false

github · term 7 AI "AI carbon footprint" in:name,description,readme fork:false archived:false

Profile 8800853057ea9f95

Alignment descriptor draft

Outcomes

Can explain where AI's energy use and emissions come from: training, inference, data centres, hardware.
Can compare the footprint of different AI activities in orders of magnitude.
Can name the factors that raise or lower it: model size, hardware, location, usage.

Develops it

Material that explains the environmental footprint of AI — energy, carbon, water — with figures, comparisons and their sources.

Only mentions it

A sentence noting that training large models is expensive, in a text about something else.

Alignment terms

energy consumption of aicarbon emissions of aitraining emissionsinference energydata centre energydata center energywater footprint

Read in a resource's text beside the domain group. They are never compiled into a search.

Neighbours

G06 Carbon Footprint Measurement: G06 measures and reports emissions; G01 understands where they come from.
G04 AI Lifecycle Sustainability: G04 assesses the whole lifecycle; G01 the footprint of AI activity.

Descriptor bc725dcb8285

G02 Green · Skill · Foundation

Green Computing Principles

Apply energy-efficient computing in AI activities

Alignment

0 resources likely to contribute to it or develop it

None found yet in what the alignment has read.

What the map misses here is not measured: the graded sample holds no pair graded 2 or 3 for it.

Retrieval

0 resources harvested by searching its terms

Never searched yet.

Search vocabulary

Domain group

green computingenergy-efficient computingsustainable computingenergy efficiencylow-power computingresource-efficient computingenergy-aware software

Zenodo and arXiv take the whole group in one query. GitHub takes one phrase at a time and works left to right, stopping once the competency is satisfied — so on that lane this order decides which terms actually run.

The compiled queries

zenodo

("artificial intelligence" OR "machine learning" OR "generative AI" OR "deep learning" OR "reinforcement learning" OR "large language model" OR "AI") AND ("green computing" OR "energy-efficient computing" OR "sustainable computing" OR "energy efficiency" OR "low-power computing" OR "resource-efficient computing" OR "energy-aware software")

arxiv

(all:"artificial intelligence" OR all:"machine learning" OR all:"generative AI" OR all:"deep learning" OR all:"reinforcement learning" OR all:"large language model") AND (all:"green computing" OR all:"energy-efficient computing" OR all:"sustainable computing" OR all:"energy efficiency" OR all:"low-power computing" OR all:"resource-efficient computing" OR all:"energy-aware software")

github · term 1 AI "green computing" in:name,description,readme fork:false archived:false

github · term 2 AI "energy-efficient computing" in:name,description,readme fork:false archived:false

github · term 3 AI "sustainable computing" in:name,description,readme fork:false archived:false

github · term 4 AI "energy efficiency" in:name,description,readme fork:false archived:false

github · term 5 AI "low-power computing" in:name,description,readme fork:false archived:false

github · term 6 AI "resource-efficient computing" in:name,description,readme fork:false archived:false

github · term 7 AI "energy-aware software" in:name,description,readme fork:false archived:false

Profile e81c8ccc50c2ce69

Alignment descriptor draft

Outcomes

Can apply energy-efficient practices when running AI workloads.
Can choose hardware, settings and schedules that reduce energy use.
Can explain the trade-off between performance and energy.

Develops it

Practical material on running computation efficiently — efficient hardware use, batching, scheduling, avoiding waste — with exercises applying it.

Only mentions it

An efficiency tip about a smaller batch size given for speed, with no word on energy.

Alignment terms

energy-efficientpower consumptionpower usageidle resourcesefficient computing

Read in a resource's text beside the domain group. They are never compiled into a search.

Neighbours

G05 Green Software for AI: G05 applies green software engineering to AI applications; G02 is energy-efficient computing in general.
G15 AI-Driven Energy Optimization: G15 uses AI to manage an organisation's energy; G02 makes computing itself efficient.
G22 Low-Carbon AI Deployment: G22 designs low-carbon deployment; G02 applies everyday efficiency.

Descriptor afbb13a0cbbb

G03 Green · Skill · Intermediate

Sustainable AI Model Selection

Choose AI models that minimize environmental impact

Alignment

0 resources likely to contribute to it or develop it

None found yet in what the alignment has read.

What the map misses here is not measured: the graded sample holds no pair graded 2 or 3 for it.

Retrieval

0 resources harvested by searching its terms

Never searched yet.

Search vocabulary

Domain group

sustainable model selectionenergy-efficient modelmodel selectionsmall language modelmodel efficiencyenvironmental model comparisonefficient AI model

Zenodo and arXiv take the whole group in one query. GitHub takes one phrase at a time and works left to right, stopping once the competency is satisfied — so on that lane this order decides which terms actually run.

The compiled queries

zenodo

("artificial intelligence" OR "machine learning" OR "generative AI" OR "deep learning" OR "reinforcement learning" OR "large language model" OR "AI") AND ("sustainable model selection" OR "energy-efficient model" OR "model selection" OR "small language model" OR "model efficiency" OR "environmental model comparison" OR "efficient AI model")

arxiv

(all:"artificial intelligence" OR all:"machine learning" OR all:"generative AI" OR all:"deep learning" OR all:"reinforcement learning" OR all:"large language model") AND (all:"sustainable model selection" OR all:"energy-efficient model" OR all:"model selection" OR all:"small language model" OR all:"model efficiency" OR all:"environmental model comparison" OR all:"efficient AI model")

github · term 1 AI "sustainable model selection" in:name,description,readme fork:false archived:false

github · term 2 AI "energy-efficient model" in:name,description,readme fork:false archived:false

github · term 3 AI "model selection" in:name,description,readme fork:false archived:false

github · term 4 AI "small language model" in:name,description,readme fork:false archived:false

github · term 5 AI "model efficiency" in:name,description,readme fork:false archived:false

github · term 6 AI "environmental model comparison" in:name,description,readme fork:false archived:false

github · term 7 AI "efficient AI model" in:name,description,readme fork:false archived:false

Profile 2091839a611051ea

Alignment descriptor draft

Outcomes

Can compare candidate models on their energy and resource cost as well as their accuracy.
Can choose a smaller or more efficient model when it meets the need.
Can justify a model choice on environmental grounds.

Develops it

Material that teaches choosing models with their environmental cost in view — efficiency benchmarks, small models, trade-offs — with cases where the learner makes the choice.

Only mentions it

Choosing among models for accuracy alone, or sklearn's model_selection module in code.

Alignment terms

small language modelsefficient modelsenergy-efficient modelmodel sizecarbon-aware model selection

Read in a resource's text beside the domain group. They are never compiled into a search.

False friends

sklearn model selectionmodel selection importtrain test splitcross validation

A term found beside one of these is read as another sense of the words, not as this competency.

Neighbours

G25 Green AI Innovation Practice: G25 proposes low-energy alternatives when designing; G03 chooses among existing models.
G08 Model Compression & Optimization: G08 compresses a model; G03 selects an efficient one.
G21 Sustainable AI Procurement: G21 evaluates vendors; G03 models.

Descriptor e0eddeda14ed

G04 Green · Knowledge · Intermediate

AI Lifecycle Sustainability

Assess environmental impact across full AI lifecycle

Alignment

0 resources likely to contribute to it or develop it

None found yet in what the alignment has read.

What the map misses here is not measured: the graded sample holds no pair graded 2 or 3 for it.

Retrieval

0 resources harvested by searching its terms

Never searched yet.

Search vocabulary

Domain group

AI lifecycle sustainabilitylife cycle assessmentlifecycle environmental impactmodel lifecycletraining and inference impactAI supply chaincradle to grave AI

Zenodo and arXiv take the whole group in one query. GitHub takes one phrase at a time and works left to right, stopping once the competency is satisfied — so on that lane this order decides which terms actually run.

The compiled queries

zenodo

("artificial intelligence" OR "machine learning" OR "generative AI" OR "deep learning" OR "reinforcement learning" OR "large language model" OR "AI") AND ("AI lifecycle sustainability" OR "life cycle assessment" OR "lifecycle environmental impact" OR "model lifecycle" OR "training and inference impact" OR "AI supply chain" OR "cradle to grave AI")

arxiv

(all:"artificial intelligence" OR all:"machine learning" OR all:"generative AI" OR all:"deep learning" OR all:"reinforcement learning" OR all:"large language model") AND (all:"AI lifecycle sustainability" OR all:"life cycle assessment" OR all:"lifecycle environmental impact" OR all:"model lifecycle" OR all:"training and inference impact" OR all:"AI supply chain" OR all:"cradle to grave AI")

github · term 1 AI "AI lifecycle sustainability" in:name,description,readme fork:false archived:false

github · term 2 AI "life cycle assessment" in:name,description,readme fork:false archived:false

github · term 3 AI "lifecycle environmental impact" in:name,description,readme fork:false archived:false

github · term 4 AI "model lifecycle" in:name,description,readme fork:false archived:false

github · term 5 AI "training and inference impact" in:name,description,readme fork:false archived:false

github · term 6 AI "AI supply chain" in:name,description,readme fork:false archived:false

github · term 7 AI "cradle to grave AI" in:name,description,readme fork:false archived:false

Profile 6985df08a712634a

Alignment descriptor draft

Outcomes

Can describe the environmental impact of each stage of an AI system's lifecycle.
Can apply life-cycle assessment thinking to an AI project.
Can identify the stage where impact is greatest for a given system.

Develops it

Material on the lifecycle impact of AI — hardware, data, training, inference, disposal — using life-cycle assessment, with a case worked through.

Only mentions it

A machine learning lifecycle diagram with no environmental content.

Alignment terms

life cycle assessmentlifecycle assessmentembodied emissionsend of lifescope 3 emissions

Read in a resource's text beside the domain group. They are never compiled into a search.

Neighbours

G01 AI Environmental Footprint: G01 is the footprint of AI activity; G04 the whole lifecycle.
G11 E-waste & Hardware Lifecycle: G11 is hardware and e-waste; G04 includes them among every stage.
G06 Carbon Footprint Measurement: G06 measures emissions; G04 assesses impact across stages.

Descriptor 571fe37f591a

G05 Green · Skill · Advanced

Green Software for AI

Apply green software development principles to AI apps

Alignment

0 resources likely to contribute to it or develop it

None found yet in what the alignment has read.

What the map misses here is not measured: the graded sample holds no pair graded 2 or 3 for it.

Retrieval

0 resources harvested by searching its terms

Never searched yet.

Search vocabulary

Domain group

green softwaresustainable software engineeringenergy-efficient softwarecarbon-aware softwaregreen codingsoftware carbon intensitysustainable AI application

Zenodo and arXiv take the whole group in one query. GitHub takes one phrase at a time and works left to right, stopping once the competency is satisfied — so on that lane this order decides which terms actually run.

The compiled queries

zenodo

("artificial intelligence" OR "machine learning" OR "generative AI" OR "deep learning" OR "reinforcement learning" OR "large language model" OR "AI") AND ("green software" OR "sustainable software engineering" OR "energy-efficient software" OR "carbon-aware software" OR "green coding" OR "software carbon intensity" OR "sustainable AI application")

arxiv

(all:"artificial intelligence" OR all:"machine learning" OR all:"generative AI" OR all:"deep learning" OR all:"reinforcement learning" OR all:"large language model") AND (all:"green software" OR all:"sustainable software engineering" OR all:"energy-efficient software" OR all:"carbon-aware software" OR all:"green coding" OR all:"software carbon intensity" OR all:"sustainable AI application")

github · term 1 AI "green software" in:name,description,readme fork:false archived:false

github · term 2 AI "sustainable software engineering" in:name,description,readme fork:false archived:false

github · term 3 AI "energy-efficient software" in:name,description,readme fork:false archived:false

github · term 4 AI "carbon-aware software" in:name,description,readme fork:false archived:false

github · term 5 AI "green coding" in:name,description,readme fork:false archived:false

github · term 6 AI "software carbon intensity" in:name,description,readme fork:false archived:false

github · term 7 AI "sustainable AI application" in:name,description,readme fork:false archived:false

Profile 483aa0fa19355a3a

Alignment descriptor draft

Outcomes

Can apply green software principles to an AI application.
Can make an application carbon-aware or more energy-efficient in its code and architecture.
Can measure the effect of a change on energy use.

Develops it

Material on green software engineering for AI applications — efficient code, carbon awareness, measuring software carbon intensity — with practice on an application.

Only mentions it

A performance optimisation presented for speed or cost only.

Alignment terms

green softwaregreen software foundationcarbon-awareenergy profilingefficient code

Read in a resource's text beside the domain group. They are never compiled into a search.

Neighbours

G02 Green Computing Principles: G02 is energy-efficient computing in general; G05 is software engineering for AI apps.
G06 Carbon Footprint Measurement: G06 measures emissions; G05 reduces them through software design.
G22 Low-Carbon AI Deployment: G22 is deployment strategy; G05 is the software itself.

Descriptor 326df6d45adc

G06 Green · Skill · Intermediate

Carbon Footprint Measurement

Measure and report carbon emissions from AI usage

Alignment

0 resources likely to contribute to it or develop it

None found yet in what the alignment has read.

What the map misses here is not measured: the graded sample holds no pair graded 2 or 3 for it.

Retrieval

0 resources harvested by searching its terms

Never searched yet.

Search vocabulary

Domain group

carbon footprint measurementcarbon accountingemissions measurementcompute carbon emissionscarbon reportingenergy telemetrysoftware carbon intensity

Zenodo and arXiv take the whole group in one query. GitHub takes one phrase at a time and works left to right, stopping once the competency is satisfied — so on that lane this order decides which terms actually run.

The compiled queries

zenodo

("artificial intelligence" OR "machine learning" OR "generative AI" OR "deep learning" OR "reinforcement learning" OR "large language model" OR "AI") AND ("carbon footprint measurement" OR "carbon accounting" OR "emissions measurement" OR "compute carbon emissions" OR "carbon reporting" OR "energy telemetry" OR "software carbon intensity")

arxiv

(all:"artificial intelligence" OR all:"machine learning" OR all:"generative AI" OR all:"deep learning" OR all:"reinforcement learning" OR all:"large language model") AND (all:"carbon footprint measurement" OR all:"carbon accounting" OR all:"emissions measurement" OR all:"compute carbon emissions" OR all:"carbon reporting" OR all:"energy telemetry" OR all:"software carbon intensity")

github · term 1 AI "carbon footprint measurement" in:name,description,readme fork:false archived:false

github · term 2 AI "carbon accounting" in:name,description,readme fork:false archived:false

github · term 3 AI "emissions measurement" in:name,description,readme fork:false archived:false

github · term 4 AI "compute carbon emissions" in:name,description,readme fork:false archived:false

github · term 5 AI "carbon reporting" in:name,description,readme fork:false archived:false

github · term 6 AI "energy telemetry" in:name,description,readme fork:false archived:false

github · term 7 AI "software carbon intensity" in:name,description,readme fork:false archived:false

Profile e783341ad25e0a59

Alignment descriptor draft

Outcomes

Can measure or estimate the energy use and emissions of an AI workload.
Can use tools such as CodeCarbon or cloud carbon dashboards and read their output.
Can report emissions with their method and assumptions.

Develops it

Hands-on material on measuring AI emissions — tools, methods, emission factors — where the learner measures a workload and reports it.

Only mentions it

A figure for a model's training emissions quoted from a paper.

Alignment terms

codecarboncarbon trackeremission factorenergy measurementcarbon intensitykwh

Read in a resource's text beside the domain group. They are never compiled into a search.

Neighbours

G01 AI Environmental Footprint: G01 understands the footprint; G06 measures it.
G16 Sustainability Impact Reporting: G16 communicates impact in reports; G06 produces the measurements.
G05 Green Software for AI: G05 reduces emissions through software; G06 measures them.

Descriptor 13a47f1d0c45

G07 Green · Knowledge · Intermediate

Renewable Energy for AI

Understand role of renewable energy in AI infrastructure

Alignment

0 resources likely to contribute to it or develop it

None found yet in what the alignment has read.

What the map misses here is not measured: the graded sample holds no pair graded 2 or 3 for it.

Retrieval

0 resources harvested by searching its terms

Never searched yet.

Search vocabulary

Domain group

renewable energyrenewable-powered data centerclean energy infrastructuresolar energy computingwind energy computingdata center electricityrenewable AI infrastructure

Zenodo and arXiv take the whole group in one query. GitHub takes one phrase at a time and works left to right, stopping once the competency is satisfied — so on that lane this order decides which terms actually run.

The compiled queries

zenodo

("artificial intelligence" OR "machine learning" OR "generative AI" OR "deep learning" OR "reinforcement learning" OR "large language model" OR "AI") AND ("renewable energy" OR "renewable-powered data center" OR "clean energy infrastructure" OR "solar energy computing" OR "wind energy computing" OR "data center electricity" OR "renewable AI infrastructure")

arxiv

(all:"artificial intelligence" OR all:"machine learning" OR all:"generative AI" OR all:"deep learning" OR all:"reinforcement learning" OR all:"large language model") AND (all:"renewable energy" OR all:"renewable-powered data center" OR all:"clean energy infrastructure" OR all:"solar energy computing" OR all:"wind energy computing" OR all:"data center electricity" OR all:"renewable AI infrastructure")

github · term 1 AI "renewable energy" in:name,description,readme fork:false archived:false

github · term 2 AI "renewable-powered data center" in:name,description,readme fork:false archived:false

github · term 3 AI "clean energy infrastructure" in:name,description,readme fork:false archived:false

github · term 4 AI "solar energy computing" in:name,description,readme fork:false archived:false

github · term 5 AI "wind energy computing" in:name,description,readme fork:false archived:false

github · term 6 AI "data center electricity" in:name,description,readme fork:false archived:false

github · term 7 AI "renewable AI infrastructure" in:name,description,readme fork:false archived:false

Profile a2e95cca3c19ced8

Alignment descriptor draft

Outcomes

Can explain how the energy mix of data centres affects AI's emissions.
Can describe the role of renewable energy and its limits for AI infrastructure.
Can compare regions or providers on the carbon intensity of their electricity.

Develops it

Material on renewable energy for AI infrastructure — energy mix, power purchase agreements, location — with data the learner interprets.

Only mentions it

A provider's claim to run on renewable energy, cited in passing.

Alignment terms

renewable energyenergy mixgrid carbon intensitypower purchase agreementclean energy

Read in a resource's text beside the domain group. They are never compiled into a search.

Neighbours

G18 Responsible Cloud Computing: G18 selects cloud services by sustainability; G07 understands renewable energy's role.
G20 AI & Climate Action: G20 is AI's role in climate action; G07 the energy behind AI.

Descriptor 642ceef6a7e1

G08 Green · Skill · Advanced

Model Compression & Optimization

Apply pruning, quantization, distillation to reduce resources

Alignment

1 resource likely to contribute to it or develop it

0 decided at level 2 or 3 · 1 not decided yet, more likely than not

What the map misses here is not measured: the graded sample holds no pair graded 2 or 3 for it.

Retrieval

0 resources harvested by searching its terms

Never searched yet.

Search vocabulary

Domain group

model compressionmodel pruningmodel quantizationknowledge distillationparameter reductionefficient inferencemodel optimizationmodel optimisation

Zenodo and arXiv take the whole group in one query. GitHub takes one phrase at a time and works left to right, stopping once the competency is satisfied — so on that lane this order decides which terms actually run.

The compiled queries

zenodo

("artificial intelligence" OR "machine learning" OR "generative AI" OR "deep learning" OR "reinforcement learning" OR "large language model" OR "AI") AND ("model compression" OR "model pruning" OR "model quantization" OR "knowledge distillation" OR "parameter reduction" OR "efficient inference" OR "model optimization" OR "model optimisation")

arxiv

(all:"artificial intelligence" OR all:"machine learning" OR all:"generative AI" OR all:"deep learning" OR all:"reinforcement learning" OR all:"large language model") AND (all:"model compression" OR all:"model pruning" OR all:"model quantization" OR all:"knowledge distillation" OR all:"parameter reduction" OR all:"efficient inference" OR all:"model optimization" OR all:"model optimisation")

github · term 1 AI "model compression" in:name,description,readme fork:false archived:false

github · term 2 AI "model pruning" in:name,description,readme fork:false archived:false

github · term 3 AI "model quantization" in:name,description,readme fork:false archived:false

github · term 4 AI "knowledge distillation" in:name,description,readme fork:false archived:false

github · term 5 AI "parameter reduction" in:name,description,readme fork:false archived:false

github · term 6 AI "efficient inference" in:name,description,readme fork:false archived:false

github · term 7 AI "model optimization" in:name,description,readme fork:false archived:false

github · term 8 AI "model optimisation" in:name,description,readme fork:false archived:false

Profile 1a5d824f83cbb391

Alignment descriptor draft

Outcomes

Can apply pruning, quantisation or distillation to a model.
Can measure the trade-off between a compressed model's size, speed and accuracy.
Can choose a compression technique for a deployment constraint.

Develops it

Hands-on material on model compression — pruning, quantisation, distillation — where the learner compresses a model and measures the result.

Only mentions it

A quantised model downloaded and used as is, with nothing about the technique.

Alignment terms

quantizationquantisationmodel pruningdistillationint84-bitonnx runtime

Read in a resource's text beside the domain group. They are never compiled into a search.

Neighbours

G03 Sustainable AI Model Selection: G03 selects an efficient model; G08 makes a model efficient.
G22 Low-Carbon AI Deployment: G22 designs low-carbon deployment; G08 reduces the model.
T19 Edge AI & IoT Integration: T19 deploys to edge devices, often after compression; G08 is the compression.

Descriptor 979352244f3b

G09 Green · Skill · Intermediate

Eco-friendly Data Management

Implement sustainable data storage and processing practices

Alignment

0 resources likely to contribute to it or develop it

None found yet in what the alignment has read.

What the map misses here is not measured: the graded sample holds no pair graded 2 or 3 for it.

Retrieval

0 resources harvested by searching its terms

Never searched yet.

Search vocabulary

Domain group

sustainable data managementeco-friendly data storagedata minimisationdata minimizationstorage energy efficiencydata lifecycleefficient data processingdata carbon footprint

Zenodo and arXiv take the whole group in one query. GitHub takes one phrase at a time and works left to right, stopping once the competency is satisfied — so on that lane this order decides which terms actually run.

The compiled queries

zenodo

("artificial intelligence" OR "machine learning" OR "generative AI" OR "deep learning" OR "reinforcement learning" OR "large language model" OR "AI") AND ("sustainable data management" OR "eco-friendly data storage" OR "data minimisation" OR "data minimization" OR "storage energy efficiency" OR "data lifecycle" OR "efficient data processing" OR "data carbon footprint")

arxiv

(all:"artificial intelligence" OR all:"machine learning" OR all:"generative AI" OR all:"deep learning" OR all:"reinforcement learning" OR all:"large language model") AND (all:"sustainable data management" OR all:"eco-friendly data storage" OR all:"data minimisation" OR all:"data minimization" OR all:"storage energy efficiency" OR all:"data lifecycle" OR all:"efficient data processing" OR all:"data carbon footprint")

github · term 1 AI "sustainable data management" in:name,description,readme fork:false archived:false

github · term 2 AI "eco-friendly data storage" in:name,description,readme fork:false archived:false

github · term 3 AI "data minimisation" in:name,description,readme fork:false archived:false

github · term 4 AI "data minimization" in:name,description,readme fork:false archived:false

github · term 5 AI "storage energy efficiency" in:name,description,readme fork:false archived:false

github · term 6 AI "data lifecycle" in:name,description,readme fork:false archived:false

github · term 7 AI "efficient data processing" in:name,description,readme fork:false archived:false

github · term 8 AI "data carbon footprint" in:name,description,readme fork:false archived:false

Profile 6dc4b773c282b8f7

Alignment descriptor draft

Outcomes

Can reduce the data an AI project stores and processes without losing what it needs.
Can apply sustainable storage and processing practices: retention, deduplication, efficient formats.
Can estimate the footprint of a data pipeline.

Develops it

Material on sustainable data management for AI — minimisation, retention, efficient formats and processing — with practice applying it.

Only mentions it

A data pipeline described for speed or cost only.

Alignment terms

data retentiondeduplicationstorage efficiencydata footprintefficient data formats

Read in a resource's text beside the domain group. They are never compiled into a search.

Neighbours

D16 Data Privacy in AI Contexts: D16 minimises data for privacy; G09 for sustainability.
T09 Data Engineering for AI: T09 builds data pipelines; G09 makes data management sustainable.

Descriptor 34c1a21c2c69

G10 Green · Skill · Intermediate

AI for Environmental Monitoring

Use AI tools to monitor environmental challenges

Alignment

2 resources likely to contribute to it or develop it

0 decided at level 2 or 3 · 2 not decided yet, more likely than not

On a graded sample, 2 pairs were graded 2 or 3 for it, and the map counts 1.

Retrieval

0 resources harvested by searching its terms

Never searched yet.

Search vocabulary

Domain group

environmental monitoringearth observationpollution monitoringecosystem monitoringremote sensingenvironmental sensorclimate monitoringconservation monitoring

Zenodo and arXiv take the whole group in one query. GitHub takes one phrase at a time and works left to right, stopping once the competency is satisfied — so on that lane this order decides which terms actually run.

The compiled queries

zenodo

("artificial intelligence" OR "machine learning" OR "generative AI" OR "deep learning" OR "reinforcement learning" OR "large language model" OR "AI") AND ("environmental monitoring" OR "earth observation" OR "pollution monitoring" OR "ecosystem monitoring" OR "remote sensing" OR "environmental sensor" OR "climate monitoring" OR "conservation monitoring")

arxiv

(all:"artificial intelligence" OR all:"machine learning" OR all:"generative AI" OR all:"deep learning" OR all:"reinforcement learning" OR all:"large language model") AND (all:"environmental monitoring" OR all:"earth observation" OR all:"pollution monitoring" OR all:"ecosystem monitoring" OR all:"remote sensing" OR all:"environmental sensor" OR all:"climate monitoring" OR all:"conservation monitoring")

github · term 1 AI "environmental monitoring" in:name,description,readme fork:false archived:false

github · term 2 AI "earth observation" in:name,description,readme fork:false archived:false

github · term 3 AI "pollution monitoring" in:name,description,readme fork:false archived:false

github · term 4 AI "ecosystem monitoring" in:name,description,readme fork:false archived:false

github · term 5 AI "remote sensing" in:name,description,readme fork:false archived:false

github · term 6 AI "environmental sensor" in:name,description,readme fork:false archived:false

github · term 7 AI "climate monitoring" in:name,description,readme fork:false archived:false

github · term 8 AI "conservation monitoring" in:name,description,readme fork:false archived:false

Profile 3a7825bb006ae678

Alignment descriptor draft

Outcomes

Can use AI tools to monitor environmental conditions: air, water, land, climate.
Can work with environmental data such as satellite imagery or sensor streams.
Can interpret the results and their uncertainty.

Develops it

Material that applies AI to environmental monitoring — remote sensing, sensors, earth observation — with data the learner analyses.

Only mentions it

An example dataset about the weather used to teach a generic technique.

Alignment terms

satellite imageryremote sensingearth observationair qualityland coverdeforestation

Read in a resource's text beside the domain group. They are never compiled into a search.

Neighbours

G24 AI & Biodiversity: G24 is biodiversity specifically; G10 environmental monitoring in general.
G20 AI & Climate Action: G20 is AI's role in climate action; G10 monitoring.

Descriptor 3a601e463838

G11 Green · Knowledge · Foundation

E-waste & Hardware Lifecycle

Understand environmental impact of device manufacturing/disposal

Alignment

0 resources likely to contribute to it or develop it

None found yet in what the alignment has read.

What the map misses here is not measured: the graded sample holds no pair graded 2 or 3 for it.

Retrieval

0 resources harvested by searching its terms

Never searched yet.

Search vocabulary

Domain group

electronic wastee-wastehardware lifecycledevice manufacturingdevice disposalhardware recyclingembodied carbonright to repair

Zenodo and arXiv take the whole group in one query. GitHub takes one phrase at a time and works left to right, stopping once the competency is satisfied — so on that lane this order decides which terms actually run.

The compiled queries

zenodo

("artificial intelligence" OR "machine learning" OR "generative AI" OR "deep learning" OR "reinforcement learning" OR "large language model" OR "AI") AND ("electronic waste" OR "e-waste" OR "hardware lifecycle" OR "device manufacturing" OR "device disposal" OR "hardware recycling" OR "embodied carbon" OR "right to repair")

arxiv

(all:"artificial intelligence" OR all:"machine learning" OR all:"generative AI" OR all:"deep learning" OR all:"reinforcement learning" OR all:"large language model") AND (all:"electronic waste" OR all:"e-waste" OR all:"hardware lifecycle" OR all:"device manufacturing" OR all:"device disposal" OR all:"hardware recycling" OR all:"embodied carbon" OR all:"right to repair")

github · term 1 AI "electronic waste" in:name,description,readme fork:false archived:false

github · term 2 AI "e-waste" in:name,description,readme fork:false archived:false

github · term 3 AI "hardware lifecycle" in:name,description,readme fork:false archived:false

github · term 4 AI "device manufacturing" in:name,description,readme fork:false archived:false

github · term 5 AI "device disposal" in:name,description,readme fork:false archived:false

github · term 6 AI "hardware recycling" in:name,description,readme fork:false archived:false

github · term 7 AI "embodied carbon" in:name,description,readme fork:false archived:false

github · term 8 AI "right to repair" in:name,description,readme fork:false archived:false

Profile 42494278e16a519c

Alignment descriptor draft

Outcomes

Can explain the environmental impact of manufacturing and disposing of digital devices.
Can describe embodied carbon and how it compares to operational emissions.
Can name practices that extend hardware life and recover materials.

Develops it

Material on e-waste and the hardware lifecycle — manufacturing, embodied carbon, repair, recycling — with figures and cases.

Only mentions it

A note that GPUs are scarce, in a text about training.

Alignment terms

e-wasteelectronic wasteembodied carbonhardware recyclingdevice lifespancritical raw materials

Read in a resource's text beside the domain group. They are never compiled into a search.

Neighbours

G04 AI Lifecycle Sustainability: G04 covers every lifecycle stage; G11 hardware and its disposal.
G14 Circular Economy & AI: G14 uses AI for circular economy; G11 is the impact of devices.

Descriptor 316164f3d04b

G12 Green · Attitude · Foundation

Sustainable Digital Practices

Adopt daily digital behaviors reducing environmental impact

Alignment

0 resources likely to contribute to it or develop it

None found yet in what the alignment has read.

What the map misses here is not measured: the graded sample holds no pair graded 2 or 3 for it.

Retrieval

0 resources harvested by searching its terms

Never searched yet.

Search vocabulary

Domain group

sustainable digital practicesdigital sustainabilitylow-impact digital behaviourlow-impact digital behaviorenergy-saving digital habitssustainable technology usedigital carbon footprint

Zenodo and arXiv take the whole group in one query. GitHub takes one phrase at a time and works left to right, stopping once the competency is satisfied — so on that lane this order decides which terms actually run.

The compiled queries

zenodo

("artificial intelligence" OR "machine learning" OR "generative AI" OR "deep learning" OR "reinforcement learning" OR "large language model" OR "AI") AND ("sustainable digital practices" OR "digital sustainability" OR "low-impact digital behaviour" OR "low-impact digital behavior" OR "energy-saving digital habits" OR "sustainable technology use" OR "digital carbon footprint")

arxiv

(all:"artificial intelligence" OR all:"machine learning" OR all:"generative AI" OR all:"deep learning" OR all:"reinforcement learning" OR all:"large language model") AND (all:"sustainable digital practices" OR all:"digital sustainability" OR all:"low-impact digital behaviour" OR all:"low-impact digital behavior" OR all:"energy-saving digital habits" OR all:"sustainable technology use" OR all:"digital carbon footprint")

github · term 1 AI "sustainable digital practices" in:name,description,readme fork:false archived:false

github · term 2 AI "digital sustainability" in:name,description,readme fork:false archived:false

github · term 3 AI "low-impact digital behaviour" in:name,description,readme fork:false archived:false

github · term 4 AI "low-impact digital behavior" in:name,description,readme fork:false archived:false

github · term 5 AI "energy-saving digital habits" in:name,description,readme fork:false archived:false

github · term 6 AI "sustainable technology use" in:name,description,readme fork:false archived:false

github · term 7 AI "digital carbon footprint" in:name,description,readme fork:false archived:false

Profile 5c95bb98c19c3137

Alignment descriptor draft

Outcomes

Can identify the environmental cost of everyday digital behaviour.
Can adopt habits that reduce it: storage, streaming, devices, AI use.
Can explain the reasoning behind those habits to others.

Develops it

Material on sustainable digital habits — what costs energy in everyday use and what to change — with reflection on one's own practice.

Only mentions it

A tip to close unused tabs, in a text about something else.

Alignment terms

digital sustainabilitydigital habitssustainable usedigital carbon footprinteco-friendly digital

Read in a resource's text beside the domain group. They are never compiled into a search.

Neighbours

G23 Digital Sobriety: G23 practises minimal, intentional use; G12 adopts lower-impact habits.
G17 Green AI Advocacy: G17 promotes sustainable practices in communities; G12 is one's own behaviour.

Descriptor e9985acf1f6c

G13 Green · Skill · Intermediate

GreenComp Lens for AI

Apply GreenComp sustainability competences (e.g. systems thinking, futures literacy) when selecting and using AI tools

Alignment

0 resources likely to contribute to it or develop it

None found yet in what the alignment has read.

What the map misses here is not measured: the graded sample holds no pair graded 2 or 3 for it.

Retrieval

0 resources harvested by searching its terms

Never searched yet.

Search vocabulary

Domain group

GreenCompsustainability competenceembodying sustainability valuesvaluing sustainabilitysupporting fairnesspromoting natureembracing complexity in sustainabilitysystems thinkingcritical thinking for sustainabilitysustainability problem framingenvisioning sustainable futuresfutures literacyadaptability for sustainabilityexploratory thinkingacting for sustainabilitypolitical agencycollective actionindividual initiativegreen competence framework

Zenodo and arXiv take the whole group in one query. GitHub takes one phrase at a time and works left to right, stopping once the competency is satisfied — so on that lane this order decides which terms actually run.

The compiled queries

zenodo

("artificial intelligence" OR "machine learning" OR "generative AI" OR "deep learning" OR "reinforcement learning" OR "large language model" OR "AI") AND ("GreenComp" OR "sustainability competence" OR "embodying sustainability values" OR "valuing sustainability" OR "supporting fairness" OR "promoting nature" OR "embracing complexity in sustainability" OR "systems thinking" OR "critical thinking for sustainability" OR "sustainability problem framing" OR "envisioning sustainable futures" OR "futures literacy" OR "adaptability for sustainability" OR "exploratory thinking" OR "acting for sustainability" OR "political agency" OR "collective action" OR "individual initiative" OR "green competence framework")

arxiv

(all:"artificial intelligence" OR all:"machine learning" OR all:"generative AI" OR all:"deep learning" OR all:"reinforcement learning" OR all:"large language model") AND (all:"GreenComp" OR all:"sustainability competence" OR all:"embodying sustainability values" OR all:"valuing sustainability" OR all:"supporting fairness" OR all:"promoting nature" OR all:"embracing complexity in sustainability" OR all:"systems thinking" OR all:"critical thinking for sustainability" OR all:"sustainability problem framing" OR all:"envisioning sustainable futures" OR all:"futures literacy" OR all:"adaptability for sustainability" OR all:"exploratory thinking" OR all:"acting for sustainability" OR all:"political agency" OR all:"collective action" OR all:"individual initiative" OR all:"green competence framework")

github · term 1 AI "GreenComp" in:name,description,readme fork:false archived:false

github · term 2 AI "sustainability competence" in:name,description,readme fork:false archived:false

github · term 3 AI "embodying sustainability values" in:name,description,readme fork:false archived:false

github · term 4 AI "valuing sustainability" in:name,description,readme fork:false archived:false

github · term 5 AI "supporting fairness" in:name,description,readme fork:false archived:false

github · term 6 AI "promoting nature" in:name,description,readme fork:false archived:false

github · term 7 AI "embracing complexity in sustainability" in:name,description,readme fork:false archived:false

github · term 8 AI "systems thinking" in:name,description,readme fork:false archived:false

github · term 9 AI "critical thinking for sustainability" in:name,description,readme fork:false archived:false

github · term 10 AI "sustainability problem framing" in:name,description,readme fork:false archived:false

github · term 11 AI "envisioning sustainable futures" in:name,description,readme fork:false archived:false

github · term 12 AI "futures literacy" in:name,description,readme fork:false archived:false

github · term 13 AI "adaptability for sustainability" in:name,description,readme fork:false archived:false

github · term 14 AI "exploratory thinking" in:name,description,readme fork:false archived:false

github · term 15 AI "acting for sustainability" in:name,description,readme fork:false archived:false

github · term 16 AI "political agency" in:name,description,readme fork:false archived:false

github · term 17 AI "collective action" in:name,description,readme fork:false archived:false

github · term 18 AI "individual initiative" in:name,description,readme fork:false archived:false

github · term 19 AI "green competence framework" in:name,description,readme fork:false archived:false

Profile c25ee5cd8362660e

Alignment descriptor draft

Outcomes

Can apply GreenComp competences such as systems thinking and futures literacy to choosing AI tools.
Can weigh the sustainability consequences of using AI in a given context.
Can frame a decision about AI as a sustainability problem.

Develops it

Material that uses the GreenComp framework, or its competences, as a lens on AI use, with activities that apply it to real choices.

Only mentions it

GreenComp cited in a reference list.

Alignment terms

greencompsystems thinkingfutures literacysustainability competenceseuropean sustainability competence framework

Read in a resource's text beside the domain group. They are never compiled into a search.

Neighbours

G19 Environmental Ethics in AI: G19 integrates environmental ethics into AI ethics; G13 applies GreenComp competences.
R12 EntreComp Lens for AI Opportunity: R12 applies EntreComp; G13 GreenComp.

Descriptor 53d175844a2d

G14 Green · Skill · Advanced

Circular Economy & AI

Leverage AI to support circular economy principles

Alignment

0 resources likely to contribute to it or develop it

None found yet in what the alignment has read.

What the map misses here is not measured: the graded sample holds no pair graded 2 or 3 for it.

Retrieval

0 resources harvested by searching its terms

Never searched yet.

Search vocabulary

Domain group

circular economycircular designresource reusewaste reductionproduct lifecyclematerial recoveryindustrial symbiosiscircular business model

Zenodo and arXiv take the whole group in one query. GitHub takes one phrase at a time and works left to right, stopping once the competency is satisfied — so on that lane this order decides which terms actually run.

The compiled queries

zenodo

("artificial intelligence" OR "machine learning" OR "generative AI" OR "deep learning" OR "reinforcement learning" OR "large language model" OR "AI") AND ("circular economy" OR "circular design" OR "resource reuse" OR "waste reduction" OR "product lifecycle" OR "material recovery" OR "industrial symbiosis" OR "circular business model")

arxiv

(all:"artificial intelligence" OR all:"machine learning" OR all:"generative AI" OR all:"deep learning" OR all:"reinforcement learning" OR all:"large language model") AND (all:"circular economy" OR all:"circular design" OR all:"resource reuse" OR all:"waste reduction" OR all:"product lifecycle" OR all:"material recovery" OR all:"industrial symbiosis" OR all:"circular business model")

github · term 1 AI "circular economy" in:name,description,readme fork:false archived:false

github · term 2 AI "circular design" in:name,description,readme fork:false archived:false

github · term 3 AI "resource reuse" in:name,description,readme fork:false archived:false

github · term 4 AI "waste reduction" in:name,description,readme fork:false archived:false

github · term 5 AI "product lifecycle" in:name,description,readme fork:false archived:false

github · term 6 AI "material recovery" in:name,description,readme fork:false archived:false

github · term 7 AI "industrial symbiosis" in:name,description,readme fork:false archived:false

github · term 8 AI "circular business model" in:name,description,readme fork:false archived:false

Profile 431b55cd14074768

Alignment descriptor draft

Outcomes

Can identify where AI supports circular economy principles: reuse, repair, recycling.
Can describe AI applications such as material sorting or demand prediction for reuse.
Can assess whether such an application reduces resource use overall.

Develops it

Material on AI for the circular economy, with applications explained and a case the learner analyses or builds.

Only mentions it

Circular economy named as an example sector in a list.

Alignment terms

circular economywaste sortingmaterial reuseremanufacturingmaterial flowsproduct life extension

Read in a resource's text beside the domain group. They are never compiled into a search.

Neighbours

G11 E-waste & Hardware Lifecycle: G11 is the impact of devices; G14 is AI supporting circularity.
G15 AI-Driven Energy Optimization: G15 optimises energy; G14 materials.

Descriptor 4f0a13930941

G15 Green · Skill · Advanced

AI-Driven Energy Optimization

Use AI for energy management in organizations

Alignment

1 resource likely to contribute to it or develop it

0 decided at level 2 or 3 · 1 not decided yet, more likely than not

What the map misses here is not measured: the graded sample holds no pair graded 2 or 3 for it.

Retrieval

0 resources harvested by searching its terms

Never searched yet.

Search vocabulary

Domain group

energy optimizationenergy optimisationenergy managementsmart energydemand responsebuilding energy efficiencyindustrial energy efficiencyenergy forecasting

Zenodo and arXiv take the whole group in one query. GitHub takes one phrase at a time and works left to right, stopping once the competency is satisfied — so on that lane this order decides which terms actually run.

The compiled queries

zenodo

("artificial intelligence" OR "machine learning" OR "generative AI" OR "deep learning" OR "reinforcement learning" OR "large language model" OR "AI") AND ("energy optimization" OR "energy optimisation" OR "energy management" OR "smart energy" OR "demand response" OR "building energy efficiency" OR "industrial energy efficiency" OR "energy forecasting")

arxiv

(all:"artificial intelligence" OR all:"machine learning" OR all:"generative AI" OR all:"deep learning" OR all:"reinforcement learning" OR all:"large language model") AND (all:"energy optimization" OR all:"energy optimisation" OR all:"energy management" OR all:"smart energy" OR all:"demand response" OR all:"building energy efficiency" OR all:"industrial energy efficiency" OR all:"energy forecasting")

github · term 1 AI "energy optimization" in:name,description,readme fork:false archived:false

github · term 2 AI "energy optimisation" in:name,description,readme fork:false archived:false

github · term 3 AI "energy management" in:name,description,readme fork:false archived:false

github · term 4 AI "smart energy" in:name,description,readme fork:false archived:false

github · term 5 AI "demand response" in:name,description,readme fork:false archived:false

github · term 6 AI "building energy efficiency" in:name,description,readme fork:false archived:false

github · term 7 AI "industrial energy efficiency" in:name,description,readme fork:false archived:false

github · term 8 AI "energy forecasting" in:name,description,readme fork:false archived:false

Profile 09133faa437170c0

Alignment descriptor draft

Outcomes

Can apply AI to forecast and optimise energy use in buildings or operations.
Can work with energy consumption data and interpret a model's recommendations.
Can evaluate the savings an optimisation achieves.

Develops it

Material that applies AI to energy management — forecasting demand, optimising consumption — with data the learner models.

Only mentions it

An energy dataset used to teach regression, with no energy management purpose.

Alignment terms

energy forecastingload forecastingenergy consumption predictionsmart gridhvac optimisationhvac optimization

Read in a resource's text beside the domain group. They are never compiled into a search.

Neighbours

G02 Green Computing Principles: G02 makes computing efficient; G15 uses AI to manage energy.
G07 Renewable Energy for AI: G07 is renewable energy for AI; G15 AI for energy.

Descriptor 69448af4db43

G16 Green · Skill · Intermediate

Sustainability Impact Reporting

Communicate AI sustainability impact through reports

Alignment

0 resources likely to contribute to it or develop it

None found yet in what the alignment has read.

What the map misses here is not measured: the graded sample holds no pair graded 2 or 3 for it.

Retrieval

0 resources harvested by searching its terms

Never searched yet.

Search vocabulary

Domain group

sustainability impact reportingenvironmental reportingESG reportingcarbon disclosuresustainability metricsimpact communicationenvironmental performance report

Zenodo and arXiv take the whole group in one query. GitHub takes one phrase at a time and works left to right, stopping once the competency is satisfied — so on that lane this order decides which terms actually run.

The compiled queries

zenodo

("artificial intelligence" OR "machine learning" OR "generative AI" OR "deep learning" OR "reinforcement learning" OR "large language model" OR "AI") AND ("sustainability impact reporting" OR "environmental reporting" OR "ESG reporting" OR "carbon disclosure" OR "sustainability metrics" OR "impact communication" OR "environmental performance report")

arxiv

(all:"artificial intelligence" OR all:"machine learning" OR all:"generative AI" OR all:"deep learning" OR all:"reinforcement learning" OR all:"large language model") AND (all:"sustainability impact reporting" OR all:"environmental reporting" OR all:"ESG reporting" OR all:"carbon disclosure" OR all:"sustainability metrics" OR all:"impact communication" OR all:"environmental performance report")

github · term 1 AI "sustainability impact reporting" in:name,description,readme fork:false archived:false

github · term 2 AI "environmental reporting" in:name,description,readme fork:false archived:false

github · term 3 AI "ESG reporting" in:name,description,readme fork:false archived:false

github · term 4 AI "carbon disclosure" in:name,description,readme fork:false archived:false

github · term 5 AI "sustainability metrics" in:name,description,readme fork:false archived:false

github · term 6 AI "impact communication" in:name,description,readme fork:false archived:false

github · term 7 AI "environmental performance report" in:name,description,readme fork:false archived:false

Profile 43835cd6a3e09a39

Alignment descriptor draft

Outcomes

Can report the environmental impact of AI use clearly and with its method.
Can choose metrics and frameworks for sustainability reporting.
Can communicate uncertainty and avoid greenwashing.

Develops it

Material on reporting AI's sustainability impact — metrics, frameworks, disclosure — with practice drafting a report.

Only mentions it

A company's sustainability report cited as a source.

Alignment terms

sustainability reportesgcarbon disclosuregreenwashingimpact reporting

Read in a resource's text beside the domain group. They are never compiled into a search.

Neighbours

G06 Carbon Footprint Measurement: G06 measures; G16 communicates the measurements.
G17 Green AI Advocacy: G17 advocates; G16 reports.

Descriptor 2d88b18d86a5

G17 Green · Attitude · Intermediate

Green AI Advocacy

Promote sustainable AI practices in communities

Alignment

0 resources likely to contribute to it or develop it

None found yet in what the alignment has read.

What the map misses here is not measured: the graded sample holds no pair graded 2 or 3 for it.

Retrieval

0 resources harvested by searching its terms

Never searched yet.

Search vocabulary

Domain group

green AI advocacysustainability advocacypolitical agency for sustainabilitycollective climate actioncommunity engagementsustainable AI awarenessenvironmental campaigninggreen technology promotionsustainability communication

Zenodo and arXiv take the whole group in one query. GitHub takes one phrase at a time and works left to right, stopping once the competency is satisfied — so on that lane this order decides which terms actually run.

The compiled queries

zenodo

("artificial intelligence" OR "machine learning" OR "generative AI" OR "deep learning" OR "reinforcement learning" OR "large language model" OR "AI") AND ("green AI advocacy" OR "sustainability advocacy" OR "political agency for sustainability" OR "collective climate action" OR "community engagement" OR "sustainable AI awareness" OR "environmental campaigning" OR "green technology promotion" OR "sustainability communication")

arxiv

(all:"artificial intelligence" OR all:"machine learning" OR all:"generative AI" OR all:"deep learning" OR all:"reinforcement learning" OR all:"large language model") AND (all:"green AI advocacy" OR all:"sustainability advocacy" OR all:"political agency for sustainability" OR all:"collective climate action" OR all:"community engagement" OR all:"sustainable AI awareness" OR all:"environmental campaigning" OR all:"green technology promotion" OR all:"sustainability communication")

github · term 1 AI "green AI advocacy" in:name,description,readme fork:false archived:false

github · term 2 AI "sustainability advocacy" in:name,description,readme fork:false archived:false

github · term 3 AI "political agency for sustainability" in:name,description,readme fork:false archived:false

github · term 4 AI "collective climate action" in:name,description,readme fork:false archived:false

github · term 5 AI "community engagement" in:name,description,readme fork:false archived:false

github · term 6 AI "sustainable AI awareness" in:name,description,readme fork:false archived:false

github · term 7 AI "environmental campaigning" in:name,description,readme fork:false archived:false

github · term 8 AI "green technology promotion" in:name,description,readme fork:false archived:false

github · term 9 AI "sustainability communication" in:name,description,readme fork:false archived:false

Profile 9def96e887ab2e9e

Alignment descriptor draft

Outcomes

Can make the case for sustainable AI practices to a community or organisation.
Can organise actions that raise awareness of AI's environmental cost.
Can tailor arguments to different audiences.

Develops it

Material on advocating sustainable AI — campaigns, community engagement, messaging — with activities that plan or carry out advocacy.

Only mentions it

A call to 'think about the planet' at the end of a talk.

Alignment terms

advocacyawareness campaigncommunity engagementgreen aisustainable ai

Read in a resource's text beside the domain group. They are never compiled into a search.

Neighbours

G16 Sustainability Impact Reporting: G16 reports impact; G17 advocates change.
G13 GreenComp Lens for AI: G13 applies a competence framework; G17 promotes practice.
R24 Community of Practice Building: R24 builds communities of practice; G17 campaigns.

Descriptor 0ec7872421cc

G18 Green · Skill · Intermediate

Responsible Cloud Computing

Select cloud services based on sustainability criteria

Alignment

0 resources likely to contribute to it or develop it

None found yet in what the alignment has read.

What the map misses here is not measured: the graded sample holds no pair graded 2 or 3 for it.

Retrieval

0 resources harvested by searching its terms

Never searched yet.

Search vocabulary

Domain group

responsible cloud computingsustainable cloudgreen cloud computingcloud sustainabilitydata centre efficiencydata center efficiencycarbon-aware cloudcloud vendor sustainability

Zenodo and arXiv take the whole group in one query. GitHub takes one phrase at a time and works left to right, stopping once the competency is satisfied — so on that lane this order decides which terms actually run.

The compiled queries

zenodo

("artificial intelligence" OR "machine learning" OR "generative AI" OR "deep learning" OR "reinforcement learning" OR "large language model" OR "AI") AND ("responsible cloud computing" OR "sustainable cloud" OR "green cloud computing" OR "cloud sustainability" OR "data centre efficiency" OR "data center efficiency" OR "carbon-aware cloud" OR "cloud vendor sustainability")

arxiv

(all:"artificial intelligence" OR all:"machine learning" OR all:"generative AI" OR all:"deep learning" OR all:"reinforcement learning" OR all:"large language model") AND (all:"responsible cloud computing" OR all:"sustainable cloud" OR all:"green cloud computing" OR all:"cloud sustainability" OR all:"data centre efficiency" OR all:"data center efficiency" OR all:"carbon-aware cloud" OR all:"cloud vendor sustainability")

github · term 1 AI "responsible cloud computing" in:name,description,readme fork:false archived:false

github · term 2 AI "sustainable cloud" in:name,description,readme fork:false archived:false

github · term 3 AI "green cloud computing" in:name,description,readme fork:false archived:false

github · term 4 AI "cloud sustainability" in:name,description,readme fork:false archived:false

github · term 5 AI "data centre efficiency" in:name,description,readme fork:false archived:false

github · term 6 AI "data center efficiency" in:name,description,readme fork:false archived:false

github · term 7 AI "carbon-aware cloud" in:name,description,readme fork:false archived:false

github · term 8 AI "cloud vendor sustainability" in:name,description,readme fork:false archived:false

Profile bf5eef78c083c493

Alignment descriptor draft

Outcomes

Can compare cloud services and regions on sustainability criteria.
Can configure workloads to run where and when electricity is cleaner.
Can read and question providers' sustainability claims.

Develops it

Material on choosing cloud services sustainably — regions, providers' data, carbon-aware scheduling — with a choice the learner makes and justifies.

Only mentions it

Cloud deployment instructions that pick a region for latency or price.

Alignment terms

cloud regioncarbon-aware computingsustainable cloudcloud carbon footprintprovider sustainability

Read in a resource's text beside the domain group. They are never compiled into a search.

Neighbours

G21 Sustainable AI Procurement: G21 evaluates vendors in procurement; G18 selects cloud services.
G07 Renewable Energy for AI: G07 explains renewable energy; G18 acts on it when choosing services.
G22 Low-Carbon AI Deployment: G22 designs low-carbon deployment; G18 picks the cloud services.

Descriptor 14422421796a

G19 Green · Attitude · Foundation

Environmental Ethics in AI

Integrate environmental considerations into AI ethics

Alignment

0 resources likely to contribute to it or develop it

None found yet in what the alignment has read.

What the map misses here is not measured: the graded sample holds no pair graded 2 or 3 for it.

Retrieval

0 resources harvested by searching its terms

Never searched yet.

Search vocabulary

Domain group

environmental ethicsecological ethicssupporting environmental fairnesspromoting natureenvironmental justiceintergenerational justiceplanetary boundariesenvironmental responsibilityecocentric AI ethics

Zenodo and arXiv take the whole group in one query. GitHub takes one phrase at a time and works left to right, stopping once the competency is satisfied — so on that lane this order decides which terms actually run.

The compiled queries

zenodo

("artificial intelligence" OR "machine learning" OR "generative AI" OR "deep learning" OR "reinforcement learning" OR "large language model" OR "AI") AND ("environmental ethics" OR "ecological ethics" OR "supporting environmental fairness" OR "promoting nature" OR "environmental justice" OR "intergenerational justice" OR "planetary boundaries" OR "environmental responsibility" OR "ecocentric AI ethics")

arxiv

(all:"artificial intelligence" OR all:"machine learning" OR all:"generative AI" OR all:"deep learning" OR all:"reinforcement learning" OR all:"large language model") AND (all:"environmental ethics" OR all:"ecological ethics" OR all:"supporting environmental fairness" OR all:"promoting nature" OR all:"environmental justice" OR all:"intergenerational justice" OR all:"planetary boundaries" OR all:"environmental responsibility" OR all:"ecocentric AI ethics")

github · term 1 AI "environmental ethics" in:name,description,readme fork:false archived:false

github · term 2 AI "ecological ethics" in:name,description,readme fork:false archived:false

github · term 3 AI "supporting environmental fairness" in:name,description,readme fork:false archived:false

github · term 4 AI "promoting nature" in:name,description,readme fork:false archived:false

github · term 5 AI "environmental justice" in:name,description,readme fork:false archived:false

github · term 6 AI "intergenerational justice" in:name,description,readme fork:false archived:false

github · term 7 AI "planetary boundaries" in:name,description,readme fork:false archived:false

github · term 8 AI "environmental responsibility" in:name,description,readme fork:false archived:false

github · term 9 AI "ecocentric AI ethics" in:name,description,readme fork:false archived:false

Profile a9431c917f75f2f6

Alignment descriptor draft

Outcomes

Can include environmental harms when assessing the ethics of an AI system.
Can reason about fairness between generations and regions in AI's environmental cost.
Can argue for environmental responsibility in AI decisions.

Develops it

Material that treats environmental considerations as part of AI ethics — justice, responsibility, planetary limits — through cases and reflection.

Only mentions it

An AI ethics overview that lists sustainability as one item among many.

Alignment terms

environmental ethicsclimate justiceenvironmental justiceplanetary boundariesintergenerational

Read in a resource's text beside the domain group. They are never compiled into a search.

Neighbours

G13 GreenComp Lens for AI: G13 applies GreenComp competences; G19 is environmental ethics.
T22 Responsible AI Development: T22 is responsible development in general; G19 adds the environment to it.
D22 Responsible AI Use Mindset: D22 is responsible use in general; G19 is its environmental side.

Descriptor 066b08cd4c67

G20 Green · Knowledge · Advanced

AI & Climate Action

Understand AI contribution to climate mitigation/adaptation

Alignment

1 resource likely to contribute to it or develop it

0 decided at level 2 or 3 · 1 not decided yet, more likely than not

On a graded sample, 2 pairs were graded 2 or 3 for it, and the map counts 1.

Retrieval

0 resources harvested by searching its terms

Never searched yet.

Search vocabulary

Domain group

climate actionclimate mitigationclimate adaptationclimate resilienceclimate technologygreenhouse gas reductionAI for climateclimate change

Zenodo and arXiv take the whole group in one query. GitHub takes one phrase at a time and works left to right, stopping once the competency is satisfied — so on that lane this order decides which terms actually run.

The compiled queries

zenodo

("artificial intelligence" OR "machine learning" OR "generative AI" OR "deep learning" OR "reinforcement learning" OR "large language model" OR "AI") AND ("climate action" OR "climate mitigation" OR "climate adaptation" OR "climate resilience" OR "climate technology" OR "greenhouse gas reduction" OR "AI for climate" OR "climate change")

arxiv

(all:"artificial intelligence" OR all:"machine learning" OR all:"generative AI" OR all:"deep learning" OR all:"reinforcement learning" OR all:"large language model") AND (all:"climate action" OR all:"climate mitigation" OR all:"climate adaptation" OR all:"climate resilience" OR all:"climate technology" OR all:"greenhouse gas reduction" OR all:"AI for climate" OR all:"climate change")

github · term 1 AI "climate action" in:name,description,readme fork:false archived:false

github · term 2 AI "climate mitigation" in:name,description,readme fork:false archived:false

github · term 3 AI "climate adaptation" in:name,description,readme fork:false archived:false

github · term 4 AI "climate resilience" in:name,description,readme fork:false archived:false

github · term 5 AI "climate technology" in:name,description,readme fork:false archived:false

github · term 6 AI "greenhouse gas reduction" in:name,description,readme fork:false archived:false

github · term 7 AI "AI for climate" in:name,description,readme fork:false archived:false

github · term 8 AI "climate change" in:name,description,readme fork:false archived:false

Profile 14c1377960d8fba3

Alignment descriptor draft

Outcomes

Can explain how AI contributes to climate mitigation and adaptation.
Can name applications such as emissions forecasting, climate modelling and early warning.
Can weigh AI's contribution against its own footprint.

Develops it

Material on AI for climate action — applications, evidence, limits — with examples or data the learner analyses.

Only mentions it

Climate change used as a motivating example in an unrelated lesson.

Alignment terms

climate changeclimate mitigationclimate adaptationclimate modellingclimate modelingextreme weather

Read in a resource's text beside the domain group. They are never compiled into a search.

Neighbours

G10 AI for Environmental Monitoring: G10 monitors the environment; G20 is AI's role in climate action.
G15 AI-Driven Energy Optimization: G15 optimises energy in organisations; G20 addresses climate broadly.

Descriptor f3a488e51d85

G21 Green · Skill · Advanced

Sustainable AI Procurement

Evaluate AI vendors using sustainability criteria

Alignment

0 resources likely to contribute to it or develop it

None found yet in what the alignment has read.

What the map misses here is not measured: the graded sample holds no pair graded 2 or 3 for it.

Retrieval

0 resources harvested by searching its terms

Never searched yet.

Search vocabulary

Domain group

sustainable procurementgreen procurementvendor sustainabilitysupplier environmental criteriaresponsible sourcingprocurement emissionssustainability tender criteria

Zenodo and arXiv take the whole group in one query. GitHub takes one phrase at a time and works left to right, stopping once the competency is satisfied — so on that lane this order decides which terms actually run.

The compiled queries

zenodo

("artificial intelligence" OR "machine learning" OR "generative AI" OR "deep learning" OR "reinforcement learning" OR "large language model" OR "AI") AND ("sustainable procurement" OR "green procurement" OR "vendor sustainability" OR "supplier environmental criteria" OR "responsible sourcing" OR "procurement emissions" OR "sustainability tender criteria")

arxiv

(all:"artificial intelligence" OR all:"machine learning" OR all:"generative AI" OR all:"deep learning" OR all:"reinforcement learning" OR all:"large language model") AND (all:"sustainable procurement" OR all:"green procurement" OR all:"vendor sustainability" OR all:"supplier environmental criteria" OR all:"responsible sourcing" OR all:"procurement emissions" OR all:"sustainability tender criteria")

github · term 1 AI "sustainable procurement" in:name,description,readme fork:false archived:false

github · term 2 AI "green procurement" in:name,description,readme fork:false archived:false

github · term 3 AI "vendor sustainability" in:name,description,readme fork:false archived:false

github · term 4 AI "supplier environmental criteria" in:name,description,readme fork:false archived:false

github · term 5 AI "responsible sourcing" in:name,description,readme fork:false archived:false

github · term 6 AI "procurement emissions" in:name,description,readme fork:false archived:false

github · term 7 AI "sustainability tender criteria" in:name,description,readme fork:false archived:false

Profile c44318b81061b422

Alignment descriptor draft

Outcomes

Can evaluate AI vendors with sustainability criteria.
Can write sustainability requirements into a procurement.
Can check vendors' environmental claims and evidence.

Develops it

Material on sustainable procurement of AI — criteria, questions for vendors, evaluation — with a procurement case.

Only mentions it

A vendor's sustainability page linked in passing.

Alignment terms

sustainable procurementgreen procurementvendor assessmentsupplier sustainabilitysustainability criteria

Read in a resource's text beside the domain group. They are never compiled into a search.

Neighbours

G18 Responsible Cloud Computing: G18 selects cloud services; G21 evaluates vendors in procurement.
G03 Sustainable AI Model Selection: G03 selects models; G21 vendors.
D09 AI Tools Selection: D09 selects tools for fit; G21 vendors for sustainability.

Descriptor b06a41ff312d

G22 Green · Skill · Advanced

Low-Carbon AI Deployment

Design AI deployment strategies minimizing emissions

Alignment

0 resources likely to contribute to it or develop it

None found yet in what the alignment has read.

What the map misses here is not measured: the graded sample holds no pair graded 2 or 3 for it.

Retrieval

0 resources harvested by searching its terms

Never searched yet.

Search vocabulary

Domain group

low-carbon deploymentcarbon-aware deploymentlow-emission inferencesustainable deploymentgreen MLOpscarbon-efficient servingworkload carbon scheduling

Zenodo and arXiv take the whole group in one query. GitHub takes one phrase at a time and works left to right, stopping once the competency is satisfied — so on that lane this order decides which terms actually run.

The compiled queries

zenodo

("artificial intelligence" OR "machine learning" OR "generative AI" OR "deep learning" OR "reinforcement learning" OR "large language model" OR "AI") AND ("low-carbon deployment" OR "carbon-aware deployment" OR "low-emission inference" OR "sustainable deployment" OR "green MLOps" OR "carbon-efficient serving" OR "workload carbon scheduling")

arxiv

(all:"artificial intelligence" OR all:"machine learning" OR all:"generative AI" OR all:"deep learning" OR all:"reinforcement learning" OR all:"large language model") AND (all:"low-carbon deployment" OR all:"carbon-aware deployment" OR all:"low-emission inference" OR all:"sustainable deployment" OR all:"green MLOps" OR all:"carbon-efficient serving" OR all:"workload carbon scheduling")

github · term 1 AI "low-carbon deployment" in:name,description,readme fork:false archived:false

github · term 2 AI "carbon-aware deployment" in:name,description,readme fork:false archived:false

github · term 3 AI "low-emission inference" in:name,description,readme fork:false archived:false

github · term 4 AI "sustainable deployment" in:name,description,readme fork:false archived:false

github · term 5 AI "green MLOps" in:name,description,readme fork:false archived:false

github · term 6 AI "carbon-efficient serving" in:name,description,readme fork:false archived:false

github · term 7 AI "workload carbon scheduling" in:name,description,readme fork:false archived:false

Profile 731856f13fea1c38

Alignment descriptor draft

Outcomes

Can design a deployment that minimises emissions: hardware, region, scaling, scheduling.
Can estimate the emissions of serving a model at a given load.
Can compare deployment options on carbon as well as cost.

Develops it

Material on low-carbon deployment of AI — efficient serving, carbon-aware scheduling, right-sizing — with a deployment the learner designs.

Only mentions it

Deployment instructions that scale a service for traffic, with nothing on emissions.

Alignment terms

low-carboncarbon-aware schedulingright-sizingefficient servinggreen mlops

Read in a resource's text beside the domain group. They are never compiled into a search.

Neighbours

T13 AI Systems Deployment: T13 deploys and monitors AI in production; G22 does it with minimal emissions.
G08 Model Compression & Optimization: G08 compresses the model; G22 designs the deployment.
G18 Responsible Cloud Computing: G18 chooses cloud services; G22 designs the whole deployment.

Descriptor 4d42fb4b323c

G23 Green · Attitude · Foundation

Digital Sobriety

Practice intentional and minimal use of digital resources

Alignment

0 resources likely to contribute to it or develop it

None found yet in what the alignment has read.

What the map misses here is not measured: the graded sample holds no pair graded 2 or 3 for it.

Retrieval

0 resources harvested by searching its terms

Never searched yet.

Search vocabulary

Domain group

digital sobrietydigital sufficiencyminimal computingintentional technology usedigital minimalismlow-tech approachresource-conscious computing

Zenodo and arXiv take the whole group in one query. GitHub takes one phrase at a time and works left to right, stopping once the competency is satisfied — so on that lane this order decides which terms actually run.

The compiled queries

zenodo

("artificial intelligence" OR "machine learning" OR "generative AI" OR "deep learning" OR "reinforcement learning" OR "large language model" OR "AI") AND ("digital sobriety" OR "digital sufficiency" OR "minimal computing" OR "intentional technology use" OR "digital minimalism" OR "low-tech approach" OR "resource-conscious computing")

arxiv

(all:"artificial intelligence" OR all:"machine learning" OR all:"generative AI" OR all:"deep learning" OR all:"reinforcement learning" OR all:"large language model") AND (all:"digital sobriety" OR all:"digital sufficiency" OR all:"minimal computing" OR all:"intentional technology use" OR all:"digital minimalism" OR all:"low-tech approach" OR all:"resource-conscious computing")

github · term 1 AI "digital sobriety" in:name,description,readme fork:false archived:false

github · term 2 AI "digital sufficiency" in:name,description,readme fork:false archived:false

github · term 3 AI "minimal computing" in:name,description,readme fork:false archived:false

github · term 4 AI "intentional technology use" in:name,description,readme fork:false archived:false

github · term 5 AI "digital minimalism" in:name,description,readme fork:false archived:false

github · term 6 AI "low-tech approach" in:name,description,readme fork:false archived:false

github · term 7 AI "resource-conscious computing" in:name,description,readme fork:false archived:false

Profile 22a8f1b564526d3e

Alignment descriptor draft

Outcomes

Can decide when a digital or AI tool is not needed.
Can practise intentional, minimal use of digital resources.
Can explain digital sufficiency and its benefits.

Develops it

Material on digital sobriety — sufficiency, minimal use, low-tech alternatives — with reflection on one's own use.

Only mentions it

A passing remark about using fewer devices.

Alignment terms

digital sobrietydigital sufficiencylow-techfrugalityintentional use

Read in a resource's text beside the domain group. They are never compiled into a search.

Neighbours

G12 Sustainable Digital Practices: G12 adopts lower-impact habits; G23 uses less.
G25 Green AI Innovation Practice: G25 designs frugal AI solutions; G23 is personal practice.

Descriptor 5ea85a286654

G24 Green · Knowledge · Advanced

AI & Biodiversity

Explore AI applications for biodiversity conservation

Alignment

1 resource likely to contribute to it or develop it

0 decided at level 2 or 3 · 1 not decided yet, more likely than not

On a graded sample, 1 pair was graded 2 or 3 for it, and the map counts 0.

Retrieval

0 resources harvested by searching its terms

Never searched yet.

Search vocabulary

Domain group

biodiversity conservationspecies monitoringhabitat conservationwildlife monitoringecosystem restorationbiodiversity assessmentconservation technologybioacoustics

Zenodo and arXiv take the whole group in one query. GitHub takes one phrase at a time and works left to right, stopping once the competency is satisfied — so on that lane this order decides which terms actually run.

The compiled queries

zenodo

("artificial intelligence" OR "machine learning" OR "generative AI" OR "deep learning" OR "reinforcement learning" OR "large language model" OR "AI") AND ("biodiversity conservation" OR "species monitoring" OR "habitat conservation" OR "wildlife monitoring" OR "ecosystem restoration" OR "biodiversity assessment" OR "conservation technology" OR "bioacoustics")

arxiv

(all:"artificial intelligence" OR all:"machine learning" OR all:"generative AI" OR all:"deep learning" OR all:"reinforcement learning" OR all:"large language model") AND (all:"biodiversity conservation" OR all:"species monitoring" OR all:"habitat conservation" OR all:"wildlife monitoring" OR all:"ecosystem restoration" OR all:"biodiversity assessment" OR all:"conservation technology" OR all:"bioacoustics")

github · term 1 AI "biodiversity conservation" in:name,description,readme fork:false archived:false

github · term 2 AI "species monitoring" in:name,description,readme fork:false archived:false

github · term 3 AI "habitat conservation" in:name,description,readme fork:false archived:false

github · term 4 AI "wildlife monitoring" in:name,description,readme fork:false archived:false

github · term 5 AI "ecosystem restoration" in:name,description,readme fork:false archived:false

github · term 6 AI "biodiversity assessment" in:name,description,readme fork:false archived:false

github · term 7 AI "conservation technology" in:name,description,readme fork:false archived:false

github · term 8 AI "bioacoustics" in:name,description,readme fork:false archived:false

Profile 9e4aefadc045ea64

Alignment descriptor draft

Outcomes

Can describe AI applications for biodiversity: species identification, acoustic monitoring, habitat mapping.
Can work with ecological data such as camera-trap images or audio.
Can discuss the limits of AI in conservation.

Develops it

Material that applies AI to biodiversity conservation, with data or a case the learner works on.

Only mentions it

An animal image dataset used to teach image classification.

Alignment terms

biodiversityspecies identificationcamera trapbioacousticswildlifewildlife conservation

Read in a resource's text beside the domain group. They are never compiled into a search.

Neighbours

G10 AI for Environmental Monitoring: G10 monitors the environment in general; G24 biodiversity.
G20 AI & Climate Action: G20 is climate action; G24 conservation of species.

Descriptor 21e76dc2156b

G25 Green · Skill · Intermediate

Green AI Innovation Practice

Propose lower-energy or lower-data alternatives when designing or selecting AI solutions

Alignment

0 resources likely to contribute to it or develop it

None found yet in what the alignment has read.

What the map misses here is not measured: the graded sample holds no pair graded 2 or 3 for it.

Retrieval

0 resources harvested by searching its terms

Never searched yet.

Search vocabulary

Domain group

green AI innovationlow-energy alternativelow-data AIfrugal AIresource-efficient innovationsustainable solution designminimal data approach

Zenodo and arXiv take the whole group in one query. GitHub takes one phrase at a time and works left to right, stopping once the competency is satisfied — so on that lane this order decides which terms actually run.

The compiled queries

zenodo

("artificial intelligence" OR "machine learning" OR "generative AI" OR "deep learning" OR "reinforcement learning" OR "large language model" OR "AI") AND ("green AI innovation" OR "low-energy alternative" OR "low-data AI" OR "frugal AI" OR "resource-efficient innovation" OR "sustainable solution design" OR "minimal data approach")

arxiv

(all:"artificial intelligence" OR all:"machine learning" OR all:"generative AI" OR all:"deep learning" OR all:"reinforcement learning" OR all:"large language model") AND (all:"green AI innovation" OR all:"low-energy alternative" OR all:"low-data AI" OR all:"frugal AI" OR all:"resource-efficient innovation" OR all:"sustainable solution design" OR all:"minimal data approach")

github · term 1 AI "green AI innovation" in:name,description,readme fork:false archived:false

github · term 2 AI "low-energy alternative" in:name,description,readme fork:false archived:false

github · term 3 AI "low-data AI" in:name,description,readme fork:false archived:false

github · term 4 AI "frugal AI" in:name,description,readme fork:false archived:false

github · term 5 AI "resource-efficient innovation" in:name,description,readme fork:false archived:false

github · term 6 AI "sustainable solution design" in:name,description,readme fork:false archived:false

github · term 7 AI "minimal data approach" in:name,description,readme fork:false archived:false

Profile dcb7ca0efd69e1be

Alignment descriptor draft

Outcomes

Can propose a lower-energy or lower-data alternative when designing an AI solution.
Can judge whether a simpler method meets the need.
Can argue for frugal design to stakeholders.

Develops it

Material on frugal AI design — simpler models, less data, non-AI alternatives — with design problems the learner works through.

Only mentions it

A note that a smaller model was faster.

Alignment terms

frugal ailightweight modelless datasimpler alternativeresource-efficient design

Read in a resource's text beside the domain group. They are never compiled into a search.

Neighbours

G03 Sustainable AI Model Selection: G03 chooses among existing models; G25 proposes alternatives in design.
G08 Model Compression & Optimization: G08 compresses a model; G25 rethinks the solution.
D25 AI & Creative Problem Solving: D25 is creative problem solving in general; G25 aims at lower energy and data.

Descriptor 82afbe01f5da

R01 Resilience & Entrepreneurial · Skill · Intermediate

AI-Enhanced Opportunity Recognition

Use AI to identify business and professional opportunities

Alignment

0 resources likely to contribute to it or develop it

None found yet in what the alignment has read.

What the map misses here is not measured: the graded sample holds no pair graded 2 or 3 for it.

Retrieval

0 resources harvested by searching its terms

Never searched yet.

Search vocabulary

Domain group

opportunity recognitionspotting opportunitiesbusiness opportunityprofessional opportunitymarket opportunityopportunity discoveryentrepreneurial opportunitytrend identification

Zenodo and arXiv take the whole group in one query. GitHub takes one phrase at a time and works left to right, stopping once the competency is satisfied — so on that lane this order decides which terms actually run.

The compiled queries

zenodo

("artificial intelligence" OR "machine learning" OR "generative AI" OR "deep learning" OR "reinforcement learning" OR "large language model" OR "AI") AND ("opportunity recognition" OR "spotting opportunities" OR "business opportunity" OR "professional opportunity" OR "market opportunity" OR "opportunity discovery" OR "entrepreneurial opportunity" OR "trend identification")

arxiv

(all:"artificial intelligence" OR all:"machine learning" OR all:"generative AI" OR all:"deep learning" OR all:"reinforcement learning" OR all:"large language model") AND (all:"opportunity recognition" OR all:"spotting opportunities" OR all:"business opportunity" OR all:"professional opportunity" OR all:"market opportunity" OR all:"opportunity discovery" OR all:"entrepreneurial opportunity" OR all:"trend identification")

github · term 1 AI "opportunity recognition" in:name,description,readme fork:false archived:false

github · term 2 AI "spotting opportunities" in:name,description,readme fork:false archived:false

github · term 3 AI "business opportunity" in:name,description,readme fork:false archived:false

github · term 4 AI "professional opportunity" in:name,description,readme fork:false archived:false

github · term 5 AI "market opportunity" in:name,description,readme fork:false archived:false

github · term 6 AI "opportunity discovery" in:name,description,readme fork:false archived:false

github · term 7 AI "entrepreneurial opportunity" in:name,description,readme fork:false archived:false

github · term 8 AI "trend identification" in:name,description,readme fork:false archived:false

Profile 3555cabcd8279177

Alignment descriptor draft

Outcomes

Can use AI tools to scan for business or professional opportunities.
Can turn trends found with AI into concrete opportunity statements.
Can judge which AI-surfaced opportunities are worth pursuing.

Develops it

Material on recognising opportunities with AI — scanning trends, spotting needs, testing ideas — with practice on a real or realistic market.

Only mentions it

A line that AI 'creates new opportunities' in an introduction.

Alignment terms

opportunity recognitionspotting opportunitiestrend analysisunmet needsopportunity identification

Read in a resource's text beside the domain group. They are never compiled into a search.

Neighbours

R12 EntreComp Lens for AI Opportunity: R12 applies EntreComp to AI opportunities; R01 uses AI to find them.
R13 AI Market Analysis: R13 analyses markets and competitors; R01 spots opportunities.
R16 AI Value Proposition Design: R16 designs the value proposition; R01 finds the opportunity.

Descriptor 5a46f9946359

R02 Resilience & Entrepreneurial · Skill · Intermediate

Adaptive AI Strategy

Adjust professional strategies in response to AI-driven changes

Alignment

0 resources likely to contribute to it or develop it

None found yet in what the alignment has read.

What the map misses here is not measured: the graded sample holds no pair graded 2 or 3 for it.

Retrieval

0 resources harvested by searching its terms

Never searched yet.

Search vocabulary

Domain group

adaptive strategystrategic adaptationAI strategybusiness strategyprofessional strategystrategic responsetechnology-driven change

Zenodo and arXiv take the whole group in one query. GitHub takes one phrase at a time and works left to right, stopping once the competency is satisfied — so on that lane this order decides which terms actually run.

The compiled queries

zenodo

("artificial intelligence" OR "machine learning" OR "generative AI" OR "deep learning" OR "reinforcement learning" OR "large language model" OR "AI") AND ("adaptive strategy" OR "strategic adaptation" OR "AI strategy" OR "business strategy" OR "professional strategy" OR "strategic response" OR "technology-driven change")

arxiv

(all:"artificial intelligence" OR all:"machine learning" OR all:"generative AI" OR all:"deep learning" OR all:"reinforcement learning" OR all:"large language model") AND (all:"adaptive strategy" OR all:"strategic adaptation" OR all:"AI strategy" OR all:"business strategy" OR all:"professional strategy" OR all:"strategic response" OR all:"technology-driven change")

github · term 1 AI "adaptive strategy" in:name,description,readme fork:false archived:false

github · term 2 AI "strategic adaptation" in:name,description,readme fork:false archived:false

github · term 3 AI "AI strategy" in:name,description,readme fork:false archived:false

github · term 4 AI "business strategy" in:name,description,readme fork:false archived:false

github · term 5 AI "professional strategy" in:name,description,readme fork:false archived:false

github · term 6 AI "strategic response" in:name,description,readme fork:false archived:false

github · term 7 AI "technology-driven change" in:name,description,readme fork:false archived:false

Profile fd460147d9775aaf

Alignment descriptor draft

Outcomes

Can analyse how AI changes their sector or profession.
Can adjust a professional or business strategy in response.
Can plan scenarios for different paces of AI adoption.

Develops it

Material on adapting strategy to AI-driven change — analysis, scenarios, strategic options — with cases the learner works through.

Only mentions it

A sentence that organisations need an AI strategy.

Alignment terms

ai strategystrategic planningscenario planningcompetitive advantageindustry disruption

Read in a resource's text beside the domain group. They are never compiled into a search.

Neighbours

R17 Adaptation to AI-Driven Change: R17 adapts one's own practice; R02 adjusts strategy.
R05 AI Change Management: R05 leads organisational change; R02 sets the strategy.
R08 Digital Transformation Leadership: R08 leads transformation; R02 adapts strategy.

Descriptor 38ec42e15483

R03 Resilience & Entrepreneurial · Skill · Intermediate

AI-Informed Risk Assessment

Leverage AI for data-driven risk identification

Alignment

4 resources likely to contribute to it or develop it

0 decided at level 2 or 3 · 4 not decided yet, more likely than not

On a graded sample, 4 pairs were graded 2 or 3 for it, and the map counts 2.

Retrieval

0 resources harvested by searching its terms

Never searched yet.

Search vocabulary

Domain group

risk assessmentrisk identificationcoping with uncertainty ambiguity and riskrisk analysisrisk managementrisk predictionrisk detectiondecision risk

Zenodo and arXiv take the whole group in one query. GitHub takes one phrase at a time and works left to right, stopping once the competency is satisfied — so on that lane this order decides which terms actually run.

Precision warnings

food safety riskclinical riskflood risk

Recorded on a decision, never subtracted from it.

The compiled queries

zenodo

("artificial intelligence" OR "machine learning" OR "generative AI" OR "deep learning" OR "reinforcement learning" OR "large language model" OR "AI") AND ("risk assessment" OR "risk identification" OR "coping with uncertainty ambiguity and risk" OR "risk analysis" OR "risk management" OR "risk prediction" OR "risk detection" OR "decision risk")

arxiv

(all:"artificial intelligence" OR all:"machine learning" OR all:"generative AI" OR all:"deep learning" OR all:"reinforcement learning" OR all:"large language model") AND (all:"risk assessment" OR all:"risk identification" OR all:"coping with uncertainty ambiguity and risk" OR all:"risk analysis" OR all:"risk management" OR all:"risk prediction" OR all:"risk detection" OR all:"decision risk")

github · term 1 AI "risk assessment" in:name,description,readme fork:false archived:false

github · term 2 AI "risk identification" in:name,description,readme fork:false archived:false

github · term 3 AI "coping with uncertainty ambiguity and risk" in:name,description,readme fork:false archived:false

github · term 4 AI "risk analysis" in:name,description,readme fork:false archived:false

github · term 5 AI "risk management" in:name,description,readme fork:false archived:false

github · term 6 AI "risk prediction" in:name,description,readme fork:false archived:false

github · term 7 AI "risk detection" in:name,description,readme fork:false archived:false

github · term 8 AI "decision risk" in:name,description,readme fork:false archived:false

Profile e58921f1f80eec57

Alignment descriptor draft

Outcomes

Can use AI and data to identify and prioritise risks.
Can interpret risk predictions and their uncertainty.
Can combine model output with expert judgement in a risk assessment.

Develops it

Material that applies AI to risk identification — risk models, prediction, interpretation — with data or cases the learner analyses.

Only mentions it

A risk register mentioned in a project template.

Alignment terms

risk assessmentrisk predictionrisk scoringfraud detectionanomaly detectionearly warning

Read in a resource's text beside the domain group. They are never compiled into a search.

Neighbours

D07 AI-Augmented Decision Making: D07 integrates AI into decisions generally; R03 identifies risks.
R18 AI-Supported Decision Agility: R18 decides quickly; R03 assesses risk.
R25 Resilient AI Systems Design: R25 builds resilient AI systems; R03 uses AI to find risks.

Descriptor 4a75dd1581bb

R04 Resilience & Entrepreneurial · Attitude · Foundation

Entrepreneurial Mindset with AI

Combine entrepreneurial thinking with AI for innovation

Alignment

0 resources likely to contribute to it or develop it

None found yet in what the alignment has read.

What the map misses here is not measured: the graded sample holds no pair graded 2 or 3 for it.

Retrieval

0 resources harvested by searching its terms

Never searched yet.

Search vocabulary

Domain group

entrepreneurial mindsetself-awareness and self-efficacymotivation and perseveranceentrepreneurship educationentrepreneurial innovationAI entrepreneurshipdigital entrepreneurshipentrepreneurial thinking

Zenodo and arXiv take the whole group in one query. GitHub takes one phrase at a time and works left to right, stopping once the competency is satisfied — so on that lane this order decides which terms actually run.

The compiled queries

zenodo

("artificial intelligence" OR "machine learning" OR "generative AI" OR "deep learning" OR "reinforcement learning" OR "large language model" OR "AI") AND ("entrepreneurial mindset" OR "self-awareness and self-efficacy" OR "motivation and perseverance" OR "entrepreneurship education" OR "entrepreneurial innovation" OR "AI entrepreneurship" OR "digital entrepreneurship" OR "entrepreneurial thinking")

arxiv

(all:"artificial intelligence" OR all:"machine learning" OR all:"generative AI" OR all:"deep learning" OR all:"reinforcement learning" OR all:"large language model") AND (all:"entrepreneurial mindset" OR all:"self-awareness and self-efficacy" OR all:"motivation and perseverance" OR all:"entrepreneurship education" OR all:"entrepreneurial innovation" OR all:"AI entrepreneurship" OR all:"digital entrepreneurship" OR all:"entrepreneurial thinking")

github · term 1 AI "entrepreneurial mindset" in:name,description,readme fork:false archived:false

github · term 2 AI "self-awareness and self-efficacy" in:name,description,readme fork:false archived:false

github · term 3 AI "motivation and perseverance" in:name,description,readme fork:false archived:false

github · term 4 AI "entrepreneurship education" in:name,description,readme fork:false archived:false

github · term 5 AI "entrepreneurial innovation" in:name,description,readme fork:false archived:false

github · term 6 AI "AI entrepreneurship" in:name,description,readme fork:false archived:false

github · term 7 AI "digital entrepreneurship" in:name,description,readme fork:false archived:false

github · term 8 AI "entrepreneurial thinking" in:name,description,readme fork:false archived:false

Profile d36520a473e01aea

Alignment descriptor draft

Outcomes

Can combine entrepreneurial thinking with AI to develop an innovative idea.
Can show initiative and perseverance in an AI-enabled venture.
Can reflect on their own entrepreneurial strengths and how AI extends them.

Develops it

Material on the entrepreneurial mindset with AI — initiative, self-efficacy, taking ideas forward — through projects and reflection.

Only mentions it

A startup named as the author of a tool.

Alignment terms

entrepreneurial mindsetentrepreneurshiptech startupself-efficacytaking initiativefounders

Read in a resource's text beside the domain group. They are never compiled into a search.

Neighbours

R12 EntreComp Lens for AI Opportunity: R12 applies the EntreComp framework; R04 is the mindset.
R09 Growth Mindset for AI Era: R09 is continuous learning; R04 entrepreneurial thinking.
R10 AI & Innovation Management: R10 manages innovation processes; R04 is the individual's mindset.

Descriptor bad47cec56dc

R05 Resilience & Entrepreneurial · Skill · Advanced

AI Change Management

Lead organizational transitions involving AI adoption

Alignment

0 resources likely to contribute to it or develop it

None found yet in what the alignment has read.

What the map misses here is not measured: the graded sample holds no pair graded 2 or 3 for it.

Retrieval

0 resources harvested by searching its terms

Never searched yet.

Search vocabulary

Domain group

change managementorganizational changeorganisational changeorganizational transformationorganisational transformationAI adoptiontechnology adoptionworkforce transitionorganizational developmentorganisational developmentagile change

Zenodo and arXiv take the whole group in one query. GitHub takes one phrase at a time and works left to right, stopping once the competency is satisfied — so on that lane this order decides which terms actually run.

Precision warnings

climate changechemical change

Recorded on a decision, never subtracted from it.

The compiled queries

zenodo

("artificial intelligence" OR "machine learning" OR "generative AI" OR "deep learning" OR "reinforcement learning" OR "large language model" OR "AI") AND ("change management" OR "organizational change" OR "organisational change" OR "organizational transformation" OR "organisational transformation" OR "AI adoption" OR "technology adoption" OR "workforce transition" OR "organizational development" OR "organisational development" OR "agile change")

arxiv

(all:"artificial intelligence" OR all:"machine learning" OR all:"generative AI" OR all:"deep learning" OR all:"reinforcement learning" OR all:"large language model") AND (all:"change management" OR all:"organizational change" OR all:"organisational change" OR all:"organizational transformation" OR all:"organisational transformation" OR all:"AI adoption" OR all:"technology adoption" OR all:"workforce transition" OR all:"organizational development" OR all:"organisational development" OR all:"agile change")

github · term 1 AI "change management" in:name,description,readme fork:false archived:false

github · term 2 AI "organizational change" in:name,description,readme fork:false archived:false

github · term 3 AI "organisational change" in:name,description,readme fork:false archived:false

github · term 4 AI "organizational transformation" in:name,description,readme fork:false archived:false

github · term 5 AI "organisational transformation" in:name,description,readme fork:false archived:false

github · term 6 AI "AI adoption" in:name,description,readme fork:false archived:false

github · term 7 AI "technology adoption" in:name,description,readme fork:false archived:false

github · term 8 AI "workforce transition" in:name,description,readme fork:false archived:false

github · term 9 AI "organizational development" in:name,description,readme fork:false archived:false

github · term 10 AI "organisational development" in:name,description,readme fork:false archived:false

github · term 11 AI "agile change" in:name,description,readme fork:false archived:false

Profile a8dfc745835ce374

Alignment descriptor draft

Outcomes

Can plan and lead an organisational transition that adopts AI.
Can address resistance, skills gaps and communication during the change.
Can measure whether the adoption succeeded.

Develops it

Material on change management for AI adoption — planning, stakeholders, resistance, training — with cases or plans the learner develops.

Only mentions it

A note that 'AI adoption requires change'.

Alignment terms

change managementai adoptionorganisational changeorganizational changeresistance to changeadoption roadmap

Read in a resource's text beside the domain group. They are never compiled into a search.

Neighbours

R08 Digital Transformation Leadership: R08 leads digital transformation; R05 manages a specific transition.
R17 Adaptation to AI-Driven Change: R17 is the individual adapting; R05 leads the organisation through it.
R02 Adaptive AI Strategy: R02 sets strategy; R05 carries out the change.

Descriptor 75e1d175cf7b

R06 Resilience & Entrepreneurial · Skill · Advanced

Post-Crisis AI Recovery

Employ AI insights for recovery after disruptions

Alignment

0 resources likely to contribute to it or develop it

None found yet in what the alignment has read.

What the map misses here is not measured: the graded sample holds no pair graded 2 or 3 for it.

Retrieval

0 resources harvested by searching its terms

Never searched yet.

Search vocabulary

Domain group

post-crisis recoverybusiness recoverydisaster recoveryorganizational recoveryorganisational recoverycrisis responserecovery planningbusiness continuity

Zenodo and arXiv take the whole group in one query. GitHub takes one phrase at a time and works left to right, stopping once the competency is satisfied — so on that lane this order decides which terms actually run.

The compiled queries

zenodo

("artificial intelligence" OR "machine learning" OR "generative AI" OR "deep learning" OR "reinforcement learning" OR "large language model" OR "AI") AND ("post-crisis recovery" OR "business recovery" OR "disaster recovery" OR "organizational recovery" OR "organisational recovery" OR "crisis response" OR "recovery planning" OR "business continuity")

arxiv

(all:"artificial intelligence" OR all:"machine learning" OR all:"generative AI" OR all:"deep learning" OR all:"reinforcement learning" OR all:"large language model") AND (all:"post-crisis recovery" OR all:"business recovery" OR all:"disaster recovery" OR all:"organizational recovery" OR all:"organisational recovery" OR all:"crisis response" OR all:"recovery planning" OR all:"business continuity")

github · term 1 AI "post-crisis recovery" in:name,description,readme fork:false archived:false

github · term 2 AI "business recovery" in:name,description,readme fork:false archived:false

github · term 3 AI "disaster recovery" in:name,description,readme fork:false archived:false

github · term 4 AI "organizational recovery" in:name,description,readme fork:false archived:false

github · term 5 AI "organisational recovery" in:name,description,readme fork:false archived:false

github · term 6 AI "crisis response" in:name,description,readme fork:false archived:false

github · term 7 AI "recovery planning" in:name,description,readme fork:false archived:false

github · term 8 AI "business continuity" in:name,description,readme fork:false archived:false

Profile f91e5601fca32b6c

Alignment descriptor draft

Outcomes

Can use AI insights to plan recovery after a disruption.
Can analyse what failed and what to prioritise in recovery.
Can monitor recovery with data.

Develops it

Material on post-crisis recovery with AI — analysis of disruption, recovery planning, monitoring — with cases.

Only mentions it

IT disaster-recovery settings in a deployment guide.

Alignment terms

crisis recoverypost-crisisbusiness continuityrecovery planningcrisis management

Read in a resource's text beside the domain group. They are never compiled into a search.

False friends

failoverbackup and restore

A term found beside one of these is read as another sense of the words, not as this competency.

Neighbours

R25 Resilient AI Systems Design: R25 makes AI systems resilient; R06 uses AI to recover an organisation.
R14 Resilience Through Automation: R14 automates to build resilience; R06 recovers after a crisis.
R03 AI-Informed Risk Assessment: R03 assesses risks before; R06 recovers after.

Descriptor 46f566bd579c

R07 Resilience & Entrepreneurial · Skill · Intermediate

AI-Powered Business Modeling

Use AI to create, test, and refine business models

Alignment

0 resources likely to contribute to it or develop it

None found yet in what the alignment has read.

What the map misses here is not measured: the graded sample holds no pair graded 2 or 3 for it.

Retrieval

0 resources harvested by searching its terms

Never searched yet.

Search vocabulary

Domain group

business modelbusiness model innovationbusiness model canvasbusiness modellingbusiness modelingventure modelbusiness model validation

Zenodo and arXiv take the whole group in one query. GitHub takes one phrase at a time and works left to right, stopping once the competency is satisfied — so on that lane this order decides which terms actually run.

The compiled queries

zenodo

("artificial intelligence" OR "machine learning" OR "generative AI" OR "deep learning" OR "reinforcement learning" OR "large language model" OR "AI") AND ("business model" OR "business model innovation" OR "business model canvas" OR "business modelling" OR "business modeling" OR "venture model" OR "business model validation")

arxiv

(all:"artificial intelligence" OR all:"machine learning" OR all:"generative AI" OR all:"deep learning" OR all:"reinforcement learning" OR all:"large language model") AND (all:"business model" OR all:"business model innovation" OR all:"business model canvas" OR all:"business modelling" OR all:"business modeling" OR all:"venture model" OR all:"business model validation")

github · term 1 AI "business model" in:name,description,readme fork:false archived:false

github · term 2 AI "business model innovation" in:name,description,readme fork:false archived:false

github · term 3 AI "business model canvas" in:name,description,readme fork:false archived:false

github · term 4 AI "business modelling" in:name,description,readme fork:false archived:false

github · term 5 AI "business modeling" in:name,description,readme fork:false archived:false

github · term 6 AI "venture model" in:name,description,readme fork:false archived:false

github · term 7 AI "business model validation" in:name,description,readme fork:false archived:false

Profile 6b4dd045415f79c2

Alignment descriptor draft

Outcomes

Can use AI to create, test and refine a business model.
Can map a business model with a canvas and test its assumptions with data.
Can explain how AI changes value creation and capture in a model.

Develops it

Material on business modelling with AI — canvases, testing assumptions, iterating — with a model the learner builds.

Only mentions it

'Business model' used loosely in a product description.

Alignment terms

business modelbusiness model canvaslean startuprevenue modelvalue capture

Read in a resource's text beside the domain group. They are never compiled into a search.

Neighbours

R16 AI Value Proposition Design: R16 designs the value proposition; R07 the whole business model.
R01 AI-Enhanced Opportunity Recognition: R01 finds opportunities; R07 builds a model around one.
R21 Financial Literacy for AI: R21 evaluates costs and returns; R07 designs the model.

Descriptor a68ce74da83d

R08 Resilience & Entrepreneurial · Skill · Advanced

Digital Transformation Leadership

Guide teams through AI-driven digital transformation

Alignment

0 resources likely to contribute to it or develop it

None found yet in what the alignment has read.

What the map misses here is not measured: the graded sample holds no pair graded 2 or 3 for it.

Retrieval

0 resources harvested by searching its terms

Never searched yet.

Search vocabulary

Domain group

digital transformation leadershiptransformation leadershipleading digital transformationorganizational transformationorganisational transformationtechnology leadershipteam transformation

Zenodo and arXiv take the whole group in one query. GitHub takes one phrase at a time and works left to right, stopping once the competency is satisfied — so on that lane this order decides which terms actually run.

The compiled queries

zenodo

("artificial intelligence" OR "machine learning" OR "generative AI" OR "deep learning" OR "reinforcement learning" OR "large language model" OR "AI") AND ("digital transformation leadership" OR "transformation leadership" OR "leading digital transformation" OR "organizational transformation" OR "organisational transformation" OR "technology leadership" OR "team transformation")

arxiv

(all:"artificial intelligence" OR all:"machine learning" OR all:"generative AI" OR all:"deep learning" OR all:"reinforcement learning" OR all:"large language model") AND (all:"digital transformation leadership" OR all:"transformation leadership" OR all:"leading digital transformation" OR all:"organizational transformation" OR all:"organisational transformation" OR all:"technology leadership" OR all:"team transformation")

github · term 1 AI "digital transformation leadership" in:name,description,readme fork:false archived:false

github · term 2 AI "transformation leadership" in:name,description,readme fork:false archived:false

github · term 3 AI "leading digital transformation" in:name,description,readme fork:false archived:false

github · term 4 AI "organizational transformation" in:name,description,readme fork:false archived:false

github · term 5 AI "organisational transformation" in:name,description,readme fork:false archived:false

github · term 6 AI "technology leadership" in:name,description,readme fork:false archived:false

github · term 7 AI "team transformation" in:name,description,readme fork:false archived:false

Profile 6bb0a5f28890af1b

Alignment descriptor draft

Outcomes

Can lead a team through AI-driven digital transformation.
Can set a vision, priorities and milestones for the transformation.
Can develop the team's skills and culture alongside the technology.

Develops it

Material on leading digital transformation — vision, roadmaps, culture, people — with leadership cases and plans.

Only mentions it

A slide titled 'digital transformation' in a vendor deck.

Alignment terms

digital transformationtransformation leadershipchange leadershiptransformation roadmapdigital strategy

Read in a resource's text beside the domain group. They are never compiled into a search.

Neighbours

R05 AI Change Management: R05 manages a specific change; R08 leads the transformation.
R10 AI & Innovation Management: R10 manages innovation; R08 leads transformation.

Descriptor 99c56129c6cf

R09 Resilience & Entrepreneurial · Attitude · Foundation

Growth Mindset for AI Era

Embrace continuous learning in evolving AI landscapes (absorbs former D20 behavioural facet)

Alignment

0 resources likely to contribute to it or develop it

None found yet in what the alignment has read.

What the map misses here is not measured: the graded sample holds no pair graded 2 or 3 for it.

Retrieval

0 resources harvested by searching its terms

Never searched yet.

Search vocabulary

Domain group

growth mindsetcontinuous learninglearning through experiencemotivation and perseverancelifelong learninglearning agilityreskillingupskillingadaptive learning mindsetfuture skills

Zenodo and arXiv take the whole group in one query. GitHub takes one phrase at a time and works left to right, stopping once the competency is satisfied — so on that lane this order decides which terms actually run.

The compiled queries

zenodo

("artificial intelligence" OR "machine learning" OR "generative AI" OR "deep learning" OR "reinforcement learning" OR "large language model" OR "AI") AND ("growth mindset" OR "continuous learning" OR "learning through experience" OR "motivation and perseverance" OR "lifelong learning" OR "learning agility" OR "reskilling" OR "upskilling" OR "adaptive learning mindset" OR "future skills")

arxiv

(all:"artificial intelligence" OR all:"machine learning" OR all:"generative AI" OR all:"deep learning" OR all:"reinforcement learning" OR all:"large language model") AND (all:"growth mindset" OR all:"continuous learning" OR all:"learning through experience" OR all:"motivation and perseverance" OR all:"lifelong learning" OR all:"learning agility" OR all:"reskilling" OR all:"upskilling" OR all:"adaptive learning mindset" OR all:"future skills")

github · term 1 AI "growth mindset" in:name,description,readme fork:false archived:false

github · term 2 AI "continuous learning" in:name,description,readme fork:false archived:false

github · term 3 AI "learning through experience" in:name,description,readme fork:false archived:false

github · term 4 AI "motivation and perseverance" in:name,description,readme fork:false archived:false

github · term 5 AI "lifelong learning" in:name,description,readme fork:false archived:false

github · term 6 AI "learning agility" in:name,description,readme fork:false archived:false

github · term 7 AI "reskilling" in:name,description,readme fork:false archived:false

github · term 8 AI "upskilling" in:name,description,readme fork:false archived:false

github · term 9 AI "adaptive learning mindset" in:name,description,readme fork:false archived:false

github · term 10 AI "future skills" in:name,description,readme fork:false archived:false

Profile 37e8bcf5e64cd0d9

Alignment descriptor draft

Outcomes

Can keep their knowledge of AI current through deliberate learning.
Can learn from experience and setbacks with new AI tools.
Can plan their own reskilling.

Develops it

Material on the growth mindset and continuous learning in the AI era, with reflection and planning of one's own learning.

Only mentions it

An invitation to 'keep learning' at the end of a course.

Alignment terms

growth mindsetlifelong learningcontinuous learningreskillingupskillinglearning plan

Read in a resource's text beside the domain group. They are never compiled into a search.

False friends

continuous learning model

A term found beside one of these is read as another sense of the words, not as this competency.

Neighbours

R17 Adaptation to AI-Driven Change: R17 adapts professional practice; R09 keeps learning.
R04 Entrepreneurial Mindset with AI: R04 is entrepreneurial; R09 is about learning.

Descriptor b1aad76871ac

R10 Resilience & Entrepreneurial · Skill · Advanced

AI & Innovation Management

Manage innovation processes integrating AI

Alignment

0 resources likely to contribute to it or develop it

None found yet in what the alignment has read.

What the map misses here is not measured: the graded sample holds no pair graded 2 or 3 for it.

Retrieval

0 resources harvested by searching its terms

Never searched yet.

Search vocabulary

Domain group

innovation managementinnovation processinnovation portfoliotechnology innovationopen innovationinnovation strategyresearch and development management

Zenodo and arXiv take the whole group in one query. GitHub takes one phrase at a time and works left to right, stopping once the competency is satisfied — so on that lane this order decides which terms actually run.

The compiled queries

zenodo

("artificial intelligence" OR "machine learning" OR "generative AI" OR "deep learning" OR "reinforcement learning" OR "large language model" OR "AI") AND ("innovation management" OR "innovation process" OR "innovation portfolio" OR "technology innovation" OR "open innovation" OR "innovation strategy" OR "research and development management")

arxiv

(all:"artificial intelligence" OR all:"machine learning" OR all:"generative AI" OR all:"deep learning" OR all:"reinforcement learning" OR all:"large language model") AND (all:"innovation management" OR all:"innovation process" OR all:"innovation portfolio" OR all:"technology innovation" OR all:"open innovation" OR all:"innovation strategy" OR all:"research and development management")

github · term 1 AI "innovation management" in:name,description,readme fork:false archived:false

github · term 2 AI "innovation process" in:name,description,readme fork:false archived:false

github · term 3 AI "innovation portfolio" in:name,description,readme fork:false archived:false

github · term 4 AI "technology innovation" in:name,description,readme fork:false archived:false

github · term 5 AI "open innovation" in:name,description,readme fork:false archived:false

github · term 6 AI "innovation strategy" in:name,description,readme fork:false archived:false

github · term 7 AI "research and development management" in:name,description,readme fork:false archived:false

Profile b6b139cd52533415

Alignment descriptor draft

Outcomes

Can manage an innovation process that integrates AI, from idea to implementation.
Can build and prioritise an innovation portfolio.
Can evaluate innovation outcomes.

Develops it

Material on innovation management with AI — processes, portfolios, open innovation — with cases or a process the learner designs.

Only mentions it

'Innovative' used to describe a product.

Alignment terms

innovation managementinnovation processinnovation strategyopen innovationstage-gate

Read in a resource's text beside the domain group. They are never compiled into a search.

Neighbours

R04 Entrepreneurial Mindset with AI: R04 is the individual's mindset; R10 manages the process.
D25 AI & Creative Problem Solving: D25 is creative problem solving; R10 organisational innovation.
R08 Digital Transformation Leadership: R08 leads transformation; R10 manages innovation.

Descriptor 49c318da1d72

R11 Resilience & Entrepreneurial · Skill · Intermediate

Collaborative AI Problem Solving

Engage cross-functional teams to solve problems with AI

Alignment

0 resources likely to contribute to it or develop it

None found yet in what the alignment has read.

On a graded sample, 1 pair was graded 2 or 3 for it, and the map counts 0.

Retrieval

0 resources harvested by searching its terms

Never searched yet.

Search vocabulary

Domain group

collaborative problem solvingworking with otherscross-functional teamteam problem solvingcollective intelligenceinterdisciplinary collaborationcooperative decision makingteam-based innovation

Zenodo and arXiv take the whole group in one query. GitHub takes one phrase at a time and works left to right, stopping once the competency is satisfied — so on that lane this order decides which terms actually run.

The compiled queries

zenodo

("artificial intelligence" OR "machine learning" OR "generative AI" OR "deep learning" OR "reinforcement learning" OR "large language model" OR "AI") AND ("collaborative problem solving" OR "working with others" OR "cross-functional team" OR "team problem solving" OR "collective intelligence" OR "interdisciplinary collaboration" OR "cooperative decision making" OR "team-based innovation")

arxiv

(all:"artificial intelligence" OR all:"machine learning" OR all:"generative AI" OR all:"deep learning" OR all:"reinforcement learning" OR all:"large language model") AND (all:"collaborative problem solving" OR all:"working with others" OR all:"cross-functional team" OR all:"team problem solving" OR all:"collective intelligence" OR all:"interdisciplinary collaboration" OR all:"cooperative decision making" OR all:"team-based innovation")

github · term 1 AI "collaborative problem solving" in:name,description,readme fork:false archived:false

github · term 2 AI "working with others" in:name,description,readme fork:false archived:false

github · term 3 AI "cross-functional team" in:name,description,readme fork:false archived:false

github · term 4 AI "team problem solving" in:name,description,readme fork:false archived:false

github · term 5 AI "collective intelligence" in:name,description,readme fork:false archived:false

github · term 6 AI "interdisciplinary collaboration" in:name,description,readme fork:false archived:false

github · term 7 AI "cooperative decision making" in:name,description,readme fork:false archived:false

github · term 8 AI "team-based innovation" in:name,description,readme fork:false archived:false

Profile b2f8239a27f1517a

Alignment descriptor draft

Outcomes

Can work in a cross-functional team on a problem using AI.
Can combine the expertise of different roles with AI tools.
Can facilitate a team's use of AI in problem solving.

Develops it

Material on collaborative problem solving with AI — team roles, shared tools, facilitation — with team activities.

Only mentions it

A contribution guide inviting pull requests.

Alignment terms

collaborative problem solvingteamworkcross-functionalteam collaborationgroup work

Read in a resource's text beside the domain group. They are never compiled into a search.

False friends

pull requestcontributor license agreement

A term found beside one of these is read as another sense of the words, not as this competency.

Neighbours

D10 Human-AI Collaboration: D10 pairs a person with AI; R11 is a team solving problems with AI.
R24 Community of Practice Building: R24 builds networks of practice; R11 solves problems in a team.
R19 Stakeholder Engagement with AI: R19 engages stakeholders; R11 works within a team.

Descriptor e5d0a0e3dc04

R12 Resilience & Entrepreneurial · Skill · Intermediate

EntreComp Lens for AI Opportunity

Apply EntreComp value-creation competences (e.g. spotting opportunities, mobilising resources) to identify AI-enabled professional or business opportunities

Alignment

0 resources likely to contribute to it or develop it

None found yet in what the alignment has read.

What the map misses here is not measured: the graded sample holds no pair graded 2 or 3 for it.

Retrieval

0 resources harvested by searching its terms

Never searched yet.

Search vocabulary

Domain group

EntreCompEntreComp ideas and opportunitiesspotting opportunitiesentrepreneurial creativityentrepreneurial visionvaluing ideasethical and sustainable thinkingEntreComp resourcesself-awareness and self-efficacymotivation and perseverancemobilising resourcesmobilizing resourcesfinancial and economic literacymobilising othersmobilizing othersEntreComp into actionentrepreneurial initiativeentrepreneurial planning and managemententrepreneurial uncertainty ambiguity and riskentrepreneurial collaborationentrepreneurial learning through experienceentrepreneurial competencevalue creation competence

Zenodo and arXiv take the whole group in one query. GitHub takes one phrase at a time and works left to right, stopping once the competency is satisfied — so on that lane this order decides which terms actually run.

The compiled queries

zenodo

("artificial intelligence" OR "machine learning" OR "generative AI" OR "deep learning" OR "reinforcement learning" OR "large language model" OR "AI") AND ("EntreComp" OR "EntreComp ideas and opportunities" OR "spotting opportunities" OR "entrepreneurial creativity" OR "entrepreneurial vision" OR "valuing ideas" OR "ethical and sustainable thinking" OR "EntreComp resources" OR "self-awareness and self-efficacy" OR "motivation and perseverance" OR "mobilising resources" OR "mobilizing resources" OR "financial and economic literacy" OR "mobilising others" OR "mobilizing others" OR "EntreComp into action" OR "entrepreneurial initiative" OR "entrepreneurial planning and management" OR "entrepreneurial uncertainty ambiguity and risk" OR "entrepreneurial collaboration" OR "entrepreneurial learning through experience" OR "entrepreneurial competence" OR "value creation competence")

arxiv

(all:"artificial intelligence" OR all:"machine learning" OR all:"generative AI" OR all:"deep learning" OR all:"reinforcement learning" OR all:"large language model") AND (all:"EntreComp" OR all:"EntreComp ideas and opportunities" OR all:"spotting opportunities" OR all:"entrepreneurial creativity" OR all:"entrepreneurial vision" OR all:"valuing ideas" OR all:"ethical and sustainable thinking" OR all:"EntreComp resources" OR all:"self-awareness and self-efficacy" OR all:"motivation and perseverance" OR all:"mobilising resources" OR all:"mobilizing resources" OR all:"financial and economic literacy" OR all:"mobilising others" OR all:"mobilizing others" OR all:"EntreComp into action" OR all:"entrepreneurial initiative" OR all:"entrepreneurial planning and management" OR all:"entrepreneurial uncertainty ambiguity and risk" OR all:"entrepreneurial collaboration" OR all:"entrepreneurial learning through experience" OR all:"entrepreneurial competence" OR all:"value creation competence")

github · term 1 AI "EntreComp" in:name,description,readme fork:false archived:false

github · term 2 AI "EntreComp ideas and opportunities" in:name,description,readme fork:false archived:false

github · term 3 AI "spotting opportunities" in:name,description,readme fork:false archived:false

github · term 4 AI "entrepreneurial creativity" in:name,description,readme fork:false archived:false

github · term 5 AI "entrepreneurial vision" in:name,description,readme fork:false archived:false

github · term 6 AI "valuing ideas" in:name,description,readme fork:false archived:false

github · term 7 AI "ethical and sustainable thinking" in:name,description,readme fork:false archived:false

github · term 8 AI "EntreComp resources" in:name,description,readme fork:false archived:false

github · term 9 AI "self-awareness and self-efficacy" in:name,description,readme fork:false archived:false

github · term 10 AI "motivation and perseverance" in:name,description,readme fork:false archived:false

github · term 11 AI "mobilising resources" in:name,description,readme fork:false archived:false

github · term 12 AI "mobilizing resources" in:name,description,readme fork:false archived:false

github · term 13 AI "financial and economic literacy" in:name,description,readme fork:false archived:false

github · term 14 AI "mobilising others" in:name,description,readme fork:false archived:false

github · term 15 AI "mobilizing others" in:name,description,readme fork:false archived:false

github · term 16 AI "EntreComp into action" in:name,description,readme fork:false archived:false

github · term 17 AI "entrepreneurial initiative" in:name,description,readme fork:false archived:false

github · term 18 AI "entrepreneurial planning and management" in:name,description,readme fork:false archived:false

github · term 19 AI "entrepreneurial uncertainty ambiguity and risk" in:name,description,readme fork:false archived:false

github · term 20 AI "entrepreneurial collaboration" in:name,description,readme fork:false archived:false

github · term 21 AI "entrepreneurial learning through experience" in:name,description,readme fork:false archived:false

github · term 22 AI "entrepreneurial competence" in:name,description,readme fork:false archived:false

github · term 23 AI "value creation competence" in:name,description,readme fork:false archived:false

Profile f66b65db582d6a28

Alignment descriptor draft

Outcomes

Can apply EntreComp competences to identify AI-enabled opportunities.
Can mobilise resources and people for an AI-enabled idea.
Can assess an idea's value, ethics and sustainability with the framework.

Develops it

Material that uses EntreComp, or its competences, as a lens on AI opportunities, with activities applying it.

Only mentions it

EntreComp cited in a reference list.

Alignment terms

entrecompentrepreneurship competence frameworkvalue creationmobilising resourcesmobilizing resources

Read in a resource's text beside the domain group. They are never compiled into a search.

Neighbours

R01 AI-Enhanced Opportunity Recognition: R01 uses AI to find opportunities; R12 applies EntreComp.
R04 Entrepreneurial Mindset with AI: R04 is the mindset; R12 the framework.
G13 GreenComp Lens for AI: G13 applies GreenComp; R12 EntreComp.

Descriptor 06a2b7db9df9

R13 Resilience & Entrepreneurial · Skill · Intermediate

AI Market Analysis

Use AI for market research, competitor analysis, trends

Alignment

0 resources likely to contribute to it or develop it

None found yet in what the alignment has read.

What the map misses here is not measured: the graded sample holds no pair graded 2 or 3 for it.

Retrieval

0 resources harvested by searching its terms

Never searched yet.

Search vocabulary

Domain group

market analysismarket researchcompetitor analysiscompetitive intelligencemarket trendsmarket forecastingindustry analysisconsumer trends

Zenodo and arXiv take the whole group in one query. GitHub takes one phrase at a time and works left to right, stopping once the competency is satisfied — so on that lane this order decides which terms actually run.

The compiled queries

zenodo

("artificial intelligence" OR "machine learning" OR "generative AI" OR "deep learning" OR "reinforcement learning" OR "large language model" OR "AI") AND ("market analysis" OR "market research" OR "competitor analysis" OR "competitive intelligence" OR "market trends" OR "market forecasting" OR "industry analysis" OR "consumer trends")

arxiv

(all:"artificial intelligence" OR all:"machine learning" OR all:"generative AI" OR all:"deep learning" OR all:"reinforcement learning" OR all:"large language model") AND (all:"market analysis" OR all:"market research" OR all:"competitor analysis" OR all:"competitive intelligence" OR all:"market trends" OR all:"market forecasting" OR all:"industry analysis" OR all:"consumer trends")

github · term 1 AI "market analysis" in:name,description,readme fork:false archived:false

github · term 2 AI "market research" in:name,description,readme fork:false archived:false

github · term 3 AI "competitor analysis" in:name,description,readme fork:false archived:false

github · term 4 AI "competitive intelligence" in:name,description,readme fork:false archived:false

github · term 5 AI "market trends" in:name,description,readme fork:false archived:false

github · term 6 AI "market forecasting" in:name,description,readme fork:false archived:false

github · term 7 AI "industry analysis" in:name,description,readme fork:false archived:false

github · term 8 AI "consumer trends" in:name,description,readme fork:false archived:false

Profile 3277379d8cf2ab54

Alignment descriptor draft

Outcomes

Can use AI for market research, competitor analysis and trend detection.
Can interpret and check AI-generated market insights.
Can turn the analysis into recommendations.

Develops it

Material that applies AI to market analysis — data sources, competitor tracking, forecasting — with an analysis the learner carries out.

Only mentions it

A market-size figure quoted in an introduction.

Alignment terms

market analysismarket researchcompetitor analysismarket trendsmarket segmentation

Read in a resource's text beside the domain group. They are never compiled into a search.

Neighbours

R22 AI-Enabled Customer Insights: R22 analyses customers; R13 markets and competitors.
R01 AI-Enhanced Opportunity Recognition: R01 spots opportunities; R13 analyses markets.

Descriptor f692d0883d89

R14 Resilience & Entrepreneurial · Skill · Intermediate

Resilience Through Automation

Identify processes for AI automation to build resilience

Alignment

0 resources likely to contribute to it or develop it

None found yet in what the alignment has read.

On a graded sample, 1 pair was graded 2 or 3 for it, and the map counts 0.

Retrieval

0 resources harvested by searching its terms

Never searched yet.

Search vocabulary

Domain group

business resilienceprocess automationresilient automationoperational resilienceworkflow automationcontinuity through automationautomation opportunity

Zenodo and arXiv take the whole group in one query. GitHub takes one phrase at a time and works left to right, stopping once the competency is satisfied — so on that lane this order decides which terms actually run.

The compiled queries

zenodo

("artificial intelligence" OR "machine learning" OR "generative AI" OR "deep learning" OR "reinforcement learning" OR "large language model" OR "AI") AND ("business resilience" OR "process automation" OR "resilient automation" OR "operational resilience" OR "workflow automation" OR "continuity through automation" OR "automation opportunity")

arxiv

(all:"artificial intelligence" OR all:"machine learning" OR all:"generative AI" OR all:"deep learning" OR all:"reinforcement learning" OR all:"large language model") AND (all:"business resilience" OR all:"process automation" OR all:"resilient automation" OR all:"operational resilience" OR all:"workflow automation" OR all:"continuity through automation" OR all:"automation opportunity")

github · term 1 AI "business resilience" in:name,description,readme fork:false archived:false

github · term 2 AI "process automation" in:name,description,readme fork:false archived:false

github · term 3 AI "resilient automation" in:name,description,readme fork:false archived:false

github · term 4 AI "operational resilience" in:name,description,readme fork:false archived:false

github · term 5 AI "workflow automation" in:name,description,readme fork:false archived:false

github · term 6 AI "continuity through automation" in:name,description,readme fork:false archived:false

github · term 7 AI "automation opportunity" in:name,description,readme fork:false archived:false

Profile 406c706e07b9825a

Alignment descriptor draft

Outcomes

Can identify processes whose automation with AI would make an organisation more resilient.
Can design an automation and its fallback for failures.
Can assess automation's effect on continuity.

Develops it

Material on automation for resilience — choosing processes, designing automation with fallbacks, continuity — with cases.

Only mentions it

A CI workflow that automates a build.

Alignment terms

process automationrobotic process automationautomation opportunitiesoperational resiliencebusiness continuity

Read in a resource's text beside the domain group. They are never compiled into a search.

False friends

github actions

A term found beside one of these is read as another sense of the words, not as this competency.

Neighbours

D23 AI Workflow Integration: D23 embeds AI into workflows; R14 automates for resilience.
R26 AI-Powered Process Optimisation: R26 optimises processes; R14 automates them to keep operating.
R06 Post-Crisis AI Recovery: R06 recovers after a crisis; R14 prepares for one.

Descriptor 46aab31ccf87

R15 Resilience & Entrepreneurial · Skill · Intermediate

AI Ethics in Entrepreneurship

Apply ethical frameworks in commercial AI deployment

Alignment

0 resources likely to contribute to it or develop it

None found yet in what the alignment has read.

What the map misses here is not measured: the graded sample holds no pair graded 2 or 3 for it.

Retrieval

0 resources harvested by searching its terms

Never searched yet.

Search vocabulary

Domain group

entrepreneurship ethicsethical and sustainable thinkingbusiness ethicscommercial AI ethicsethical startupresponsible innovationethical deploymentresponsible entrepreneurship

Zenodo and arXiv take the whole group in one query. GitHub takes one phrase at a time and works left to right, stopping once the competency is satisfied — so on that lane this order decides which terms actually run.

The compiled queries

zenodo

("artificial intelligence" OR "machine learning" OR "generative AI" OR "deep learning" OR "reinforcement learning" OR "large language model" OR "AI") AND ("entrepreneurship ethics" OR "ethical and sustainable thinking" OR "business ethics" OR "commercial AI ethics" OR "ethical startup" OR "responsible innovation" OR "ethical deployment" OR "responsible entrepreneurship")

arxiv

(all:"artificial intelligence" OR all:"machine learning" OR all:"generative AI" OR all:"deep learning" OR all:"reinforcement learning" OR all:"large language model") AND (all:"entrepreneurship ethics" OR all:"ethical and sustainable thinking" OR all:"business ethics" OR all:"commercial AI ethics" OR all:"ethical startup" OR all:"responsible innovation" OR all:"ethical deployment" OR all:"responsible entrepreneurship")

github · term 1 AI "entrepreneurship ethics" in:name,description,readme fork:false archived:false

github · term 2 AI "ethical and sustainable thinking" in:name,description,readme fork:false archived:false

github · term 3 AI "business ethics" in:name,description,readme fork:false archived:false

github · term 4 AI "commercial AI ethics" in:name,description,readme fork:false archived:false

github · term 5 AI "ethical startup" in:name,description,readme fork:false archived:false

github · term 6 AI "responsible innovation" in:name,description,readme fork:false archived:false

github · term 7 AI "ethical deployment" in:name,description,readme fork:false archived:false

github · term 8 AI "responsible entrepreneurship" in:name,description,readme fork:false archived:false

Profile f481fa543a51821c

Alignment descriptor draft

Outcomes

Can apply an ethical framework to a commercial AI deployment.
Can identify conflicts between commercial goals and ethics.
Can design safeguards and argue for them in a business setting.

Develops it

Material on ethics in AI entrepreneurship — frameworks, cases, trade-offs — through business cases and reflection.

Only mentions it

A company's code of conduct linked in a footer.

Alignment terms

business ethicsresponsible innovationethical frameworkcommercial airesponsible business

Read in a resource's text beside the domain group. They are never compiled into a search.

False friends

code of conduct

A term found beside one of these is read as another sense of the words, not as this competency.

Neighbours

D22 Responsible AI Use Mindset: D22 is responsible use; R15 ethics in commercial deployment.
T22 Responsible AI Development: T22 is responsible development; R15 business ethics.
R23 Regulatory Navigation for AI: R23 navigates regulation; R15 ethics beyond compliance.

Descriptor e82289b66c6d

R16 Resilience & Entrepreneurial · Skill · Advanced

AI Value Proposition Design

Create value propositions leveraging AI capabilities

Alignment

0 resources likely to contribute to it or develop it

None found yet in what the alignment has read.

What the map misses here is not measured: the graded sample holds no pair graded 2 or 3 for it.

Retrieval

0 resources harvested by searching its terms

Never searched yet.

Search vocabulary

Domain group

value propositionvalue proposition designcustomer valuevalue proposition canvasproduct valueAI-enabled valuecustomer jobs and pains

Zenodo and arXiv take the whole group in one query. GitHub takes one phrase at a time and works left to right, stopping once the competency is satisfied — so on that lane this order decides which terms actually run.

The compiled queries

zenodo

("artificial intelligence" OR "machine learning" OR "generative AI" OR "deep learning" OR "reinforcement learning" OR "large language model" OR "AI") AND ("value proposition" OR "value proposition design" OR "customer value" OR "value proposition canvas" OR "product value" OR "AI-enabled value" OR "customer jobs and pains")

arxiv

(all:"artificial intelligence" OR all:"machine learning" OR all:"generative AI" OR all:"deep learning" OR all:"reinforcement learning" OR all:"large language model") AND (all:"value proposition" OR all:"value proposition design" OR all:"customer value" OR all:"value proposition canvas" OR all:"product value" OR all:"AI-enabled value" OR all:"customer jobs and pains")

github · term 1 AI "value proposition" in:name,description,readme fork:false archived:false

github · term 2 AI "value proposition design" in:name,description,readme fork:false archived:false

github · term 3 AI "customer value" in:name,description,readme fork:false archived:false

github · term 4 AI "value proposition canvas" in:name,description,readme fork:false archived:false

github · term 5 AI "product value" in:name,description,readme fork:false archived:false

github · term 6 AI "AI-enabled value" in:name,description,readme fork:false archived:false

github · term 7 AI "customer jobs and pains" in:name,description,readme fork:false archived:false

Profile 1bf8c52945460b66

Alignment descriptor draft

Outcomes

Can design a value proposition that uses AI capabilities.
Can map customer jobs, pains and gains and match them with AI features.
Can test a value proposition with customers.

Develops it

Material on value proposition design with AI — canvases, customer understanding, testing — with a proposition the learner designs.

Only mentions it

A product's tagline describing its value.

Alignment terms

value propositionvalue proposition canvascustomer painscustomer gainsproduct-market fit

Read in a resource's text beside the domain group. They are never compiled into a search.

Neighbours

R07 AI-Powered Business Modeling: R07 is the whole business model; R16 the value proposition.
R22 AI-Enabled Customer Insights: R22 analyses customer behaviour; R16 designs value for customers.

Descriptor e7619ad5fdc4

R17 Resilience & Entrepreneurial · Skill · Foundation

Adaptation to AI-Driven Change

Adapt professional practice to AI-induced changes in roles, workflows and skill demands

Alignment

1 resource likely to contribute to it or develop it

0 decided at level 2 or 3 · 1 not decided yet, more likely than not

On a graded sample, 1 pair was graded 2 or 3 for it, and the map counts 0.

Retrieval

0 resources harvested by searching its terms

Never searched yet.

Search vocabulary

Domain group

workplace adaptationprofessional adaptationjob role changeworkflow changeskills transitionfuture of workworkforce reskillingchanging skill demands

Zenodo and arXiv take the whole group in one query. GitHub takes one phrase at a time and works left to right, stopping once the competency is satisfied — so on that lane this order decides which terms actually run.

Precision warnings

climate adaptation

Recorded on a decision, never subtracted from it.

The compiled queries

zenodo

("artificial intelligence" OR "machine learning" OR "generative AI" OR "deep learning" OR "reinforcement learning" OR "large language model" OR "AI") AND ("workplace adaptation" OR "professional adaptation" OR "job role change" OR "workflow change" OR "skills transition" OR "future of work" OR "workforce reskilling" OR "changing skill demands")

arxiv

(all:"artificial intelligence" OR all:"machine learning" OR all:"generative AI" OR all:"deep learning" OR all:"reinforcement learning" OR all:"large language model") AND (all:"workplace adaptation" OR all:"professional adaptation" OR all:"job role change" OR all:"workflow change" OR all:"skills transition" OR all:"future of work" OR all:"workforce reskilling" OR all:"changing skill demands")

github · term 1 AI "workplace adaptation" in:name,description,readme fork:false archived:false

github · term 2 AI "professional adaptation" in:name,description,readme fork:false archived:false

github · term 3 AI "job role change" in:name,description,readme fork:false archived:false

github · term 4 AI "workflow change" in:name,description,readme fork:false archived:false

github · term 5 AI "skills transition" in:name,description,readme fork:false archived:false

github · term 6 AI "future of work" in:name,description,readme fork:false archived:false

github · term 7 AI "workforce reskilling" in:name,description,readme fork:false archived:false

github · term 8 AI "changing skill demands" in:name,description,readme fork:false archived:false

Profile ec13e1457eb0281e

Alignment descriptor draft

Outcomes

Can identify how AI changes their role, workflows and skill demands.
Can adapt their professional practice accordingly.
Can plan the skills they need for a changed role.

Develops it

Material on adapting to AI in the workplace — changing roles, skills, workflows — with reflection and planning.

Only mentions it

A statement that AI will 'change jobs'.

Alignment terms

future of workjob rolesworkplace adaptationskills gapchanging skills

Read in a resource's text beside the domain group. They are never compiled into a search.

Neighbours

R09 Growth Mindset for AI Era: R09 is continuous learning; R17 adapting practice to change.
R02 Adaptive AI Strategy: R02 adjusts strategy; R17 one's own practice.
R05 AI Change Management: R05 leads organisational change; R17 is the individual.

Descriptor 0ad0936f63f0

R18 Resilience & Entrepreneurial · Skill · Intermediate

AI-Supported Decision Agility

Make rapid decisions using AI analytics

Alignment

0 resources likely to contribute to it or develop it

None found yet in what the alignment has read.

What the map misses here is not measured: the graded sample holds no pair graded 2 or 3 for it.

Retrieval

0 resources harvested by searching its terms

Never searched yet.

Search vocabulary

Domain group

decision agilityrapid decision makingagile decision makingreal-time analyticstime-critical decisionadaptive decision makingdecision speed

Zenodo and arXiv take the whole group in one query. GitHub takes one phrase at a time and works left to right, stopping once the competency is satisfied — so on that lane this order decides which terms actually run.

The compiled queries

zenodo

("artificial intelligence" OR "machine learning" OR "generative AI" OR "deep learning" OR "reinforcement learning" OR "large language model" OR "AI") AND ("decision agility" OR "rapid decision making" OR "agile decision making" OR "real-time analytics" OR "time-critical decision" OR "adaptive decision making" OR "decision speed")

arxiv

(all:"artificial intelligence" OR all:"machine learning" OR all:"generative AI" OR all:"deep learning" OR all:"reinforcement learning" OR all:"large language model") AND (all:"decision agility" OR all:"rapid decision making" OR all:"agile decision making" OR all:"real-time analytics" OR all:"time-critical decision" OR all:"adaptive decision making" OR all:"decision speed")

github · term 1 AI "decision agility" in:name,description,readme fork:false archived:false

github · term 2 AI "rapid decision making" in:name,description,readme fork:false archived:false

github · term 3 AI "agile decision making" in:name,description,readme fork:false archived:false

github · term 4 AI "real-time analytics" in:name,description,readme fork:false archived:false

github · term 5 AI "time-critical decision" in:name,description,readme fork:false archived:false

github · term 6 AI "adaptive decision making" in:name,description,readme fork:false archived:false

github · term 7 AI "decision speed" in:name,description,readme fork:false archived:false

Profile 21f781fb7bccac7a

Alignment descriptor draft

Outcomes

Can use real-time analytics and AI outputs to decide quickly.
Can balance speed against the reliability of the information.
Can set up dashboards or alerts that support timely decisions.

Develops it

Material on rapid decision making with AI analytics — dashboards, real-time data, decision rules — with scenarios.

Only mentions it

A dashboard screenshot in a product overview.

Alignment terms

real-time analyticsdecision dashboardrapid decision makingagile decisionstreaming analytics

Read in a resource's text beside the domain group. They are never compiled into a search.

Neighbours

D07 AI-Augmented Decision Making: D07 weighs AI against judgement; R18 decides quickly with analytics.
R03 AI-Informed Risk Assessment: R03 assesses risk; R18 acts on data quickly.

Descriptor 5d408ed8aa76

R19 Resilience & Entrepreneurial · Skill · Intermediate

Stakeholder Engagement with AI

Communicate AI strategies to diverse stakeholders

Alignment

0 resources likely to contribute to it or develop it

None found yet in what the alignment has read.

On a graded sample, 1 pair was graded 2 or 3 for it, and the map counts 0.

Retrieval

0 resources harvested by searching its terms

Never searched yet.

Search vocabulary

Domain group

stakeholder engagementmobilising othersmobilizing othersstakeholder communicationstakeholder managementAI strategy communicationpublic engagementparticipatory governancestakeholder trust

Zenodo and arXiv take the whole group in one query. GitHub takes one phrase at a time and works left to right, stopping once the competency is satisfied — so on that lane this order decides which terms actually run.

The compiled queries

zenodo

("artificial intelligence" OR "machine learning" OR "generative AI" OR "deep learning" OR "reinforcement learning" OR "large language model" OR "AI") AND ("stakeholder engagement" OR "mobilising others" OR "mobilizing others" OR "stakeholder communication" OR "stakeholder management" OR "AI strategy communication" OR "public engagement" OR "participatory governance" OR "stakeholder trust")

arxiv

(all:"artificial intelligence" OR all:"machine learning" OR all:"generative AI" OR all:"deep learning" OR all:"reinforcement learning" OR all:"large language model") AND (all:"stakeholder engagement" OR all:"mobilising others" OR all:"mobilizing others" OR all:"stakeholder communication" OR all:"stakeholder management" OR all:"AI strategy communication" OR all:"public engagement" OR all:"participatory governance" OR all:"stakeholder trust")

github · term 1 AI "stakeholder engagement" in:name,description,readme fork:false archived:false

github · term 2 AI "mobilising others" in:name,description,readme fork:false archived:false

github · term 3 AI "mobilizing others" in:name,description,readme fork:false archived:false

github · term 4 AI "stakeholder communication" in:name,description,readme fork:false archived:false

github · term 5 AI "stakeholder management" in:name,description,readme fork:false archived:false

github · term 6 AI "AI strategy communication" in:name,description,readme fork:false archived:false

github · term 7 AI "public engagement" in:name,description,readme fork:false archived:false

github · term 8 AI "participatory governance" in:name,description,readme fork:false archived:false

github · term 9 AI "stakeholder trust" in:name,description,readme fork:false archived:false

Profile 42af012a0c94061c

Alignment descriptor draft

Outcomes

Can explain an AI strategy to stakeholders with different interests.
Can engage stakeholders in decisions about AI.
Can address concerns and build trust.

Develops it

Material on stakeholder engagement for AI — mapping, communication, participation — with plans or role plays.

Only mentions it

A list of stakeholders in a project template.

Alignment terms

stakeholder engagementstakeholder communicationstakeholder mappingpublic engagementtrust building

Read in a resource's text beside the domain group. They are never compiled into a search.

Neighbours

R11 Collaborative AI Problem Solving: R11 works within a team; R19 engages stakeholders.
G17 Green AI Advocacy: G17 advocates sustainability; R19 communicates AI strategy.

Descriptor 2e75385c04ae

R20 Resilience & Entrepreneurial · Skill · Advanced

AI & Social Innovation

Apply AI for social good and community challenges

Alignment

0 resources likely to contribute to it or develop it

None found yet in what the alignment has read.

What the map misses here is not measured: the graded sample holds no pair graded 2 or 3 for it.

Retrieval

0 resources harvested by searching its terms

Never searched yet.

Search vocabulary

Domain group

social innovationAI for social goodcommunity challengessocial impactcivic technologycommunity innovationpublic interest technology

Zenodo and arXiv take the whole group in one query. GitHub takes one phrase at a time and works left to right, stopping once the competency is satisfied — so on that lane this order decides which terms actually run.

The compiled queries

zenodo

("artificial intelligence" OR "machine learning" OR "generative AI" OR "deep learning" OR "reinforcement learning" OR "large language model" OR "AI") AND ("social innovation" OR "AI for social good" OR "community challenges" OR "social impact" OR "civic technology" OR "community innovation" OR "public interest technology")

arxiv

(all:"artificial intelligence" OR all:"machine learning" OR all:"generative AI" OR all:"deep learning" OR all:"reinforcement learning" OR all:"large language model") AND (all:"social innovation" OR all:"AI for social good" OR all:"community challenges" OR all:"social impact" OR all:"civic technology" OR all:"community innovation" OR all:"public interest technology")

github · term 1 AI "social innovation" in:name,description,readme fork:false archived:false

github · term 2 AI "AI for social good" in:name,description,readme fork:false archived:false

github · term 3 AI "community challenges" in:name,description,readme fork:false archived:false

github · term 4 AI "social impact" in:name,description,readme fork:false archived:false

github · term 5 AI "civic technology" in:name,description,readme fork:false archived:false

github · term 6 AI "community innovation" in:name,description,readme fork:false archived:false

github · term 7 AI "public interest technology" in:name,description,readme fork:false archived:false

Profile b8813f0b70e5b9f1

Alignment descriptor draft

Outcomes

Can identify community challenges that AI could help address.
Can design an AI application for social good with the community.
Can assess its social impact and risks.

Develops it

Material on AI for social good — community challenges, participatory design, impact — with a project or case.

Only mentions it

'For social good' in a project's slogan.

Alignment terms

ai for social goodsocial innovationcivic technonprofithumanitarian

Read in a resource's text beside the domain group. They are never compiled into a search.

Neighbours

D24 AI Impact Assessment: D24 assesses impact; R20 applies AI to social challenges.
G20 AI & Climate Action: G20 is climate action; R20 social challenges.

Descriptor ac901b188f48

R21 Resilience & Entrepreneurial · Knowledge · Intermediate

Financial Literacy for AI

Evaluate ROI and cost-benefit of AI implementations

Alignment

0 resources likely to contribute to it or develop it

None found yet in what the alignment has read.

What the map misses here is not measured: the graded sample holds no pair graded 2 or 3 for it.

Retrieval

0 resources harvested by searching its terms

Never searched yet.

Search vocabulary

Domain group

financial literacyfinancial and economic literacyreturn on investmentROI analysiscost-benefit analysistotal cost of ownershipAI investmentbusiness casefinancial evaluation

Zenodo and arXiv take the whole group in one query. GitHub takes one phrase at a time and works left to right, stopping once the competency is satisfied — so on that lane this order decides which terms actually run.

The compiled queries

zenodo

("artificial intelligence" OR "machine learning" OR "generative AI" OR "deep learning" OR "reinforcement learning" OR "large language model" OR "AI") AND ("financial literacy" OR "financial and economic literacy" OR "return on investment" OR "ROI analysis" OR "cost-benefit analysis" OR "total cost of ownership" OR "AI investment" OR "business case" OR "financial evaluation")

arxiv

(all:"artificial intelligence" OR all:"machine learning" OR all:"generative AI" OR all:"deep learning" OR all:"reinforcement learning" OR all:"large language model") AND (all:"financial literacy" OR all:"financial and economic literacy" OR all:"return on investment" OR all:"ROI analysis" OR all:"cost-benefit analysis" OR all:"total cost of ownership" OR all:"AI investment" OR all:"business case" OR all:"financial evaluation")

github · term 1 AI "financial literacy" in:name,description,readme fork:false archived:false

github · term 2 AI "financial and economic literacy" in:name,description,readme fork:false archived:false

github · term 3 AI "return on investment" in:name,description,readme fork:false archived:false

github · term 4 AI "ROI analysis" in:name,description,readme fork:false archived:false

github · term 5 AI "cost-benefit analysis" in:name,description,readme fork:false archived:false

github · term 6 AI "total cost of ownership" in:name,description,readme fork:false archived:false

github · term 7 AI "AI investment" in:name,description,readme fork:false archived:false

github · term 8 AI "business case" in:name,description,readme fork:false archived:false

github · term 9 AI "financial evaluation" in:name,description,readme fork:false archived:false

Profile 17286e0caf1258ef

Alignment descriptor draft

Outcomes

Can estimate the costs and benefits of an AI implementation.
Can calculate return on investment and total cost of ownership.
Can build a business case for or against an AI project.

Develops it

Material on the economics of AI implementation — costs, ROI, business cases — with calculations the learner carries out.

Only mentions it

An API's pricing table in a setup guide.

Alignment terms

return on investmentcost-benefit analysistotal cost of ownershipbusiness casecost estimation

Read in a resource's text beside the domain group. They are never compiled into a search.

False friends

region of interest

A term found beside one of these is read as another sense of the words, not as this competency.

Neighbours

R07 AI-Powered Business Modeling: R07 designs the business model; R21 evaluates costs and returns.
G21 Sustainable AI Procurement: G21 evaluates vendors on sustainability; R21 on cost.

Descriptor 8cb4838365c3

R22 Resilience & Entrepreneurial · Skill · Intermediate

AI-Enabled Customer Insights

Use AI analytics to understand customer behavior

Alignment

1 resource likely to contribute to it or develop it

0 decided at level 2 or 3 · 1 not decided yet, more likely than not

What the map misses here is not measured: the graded sample holds no pair graded 2 or 3 for it.

Retrieval

0 resources harvested by searching its terms

Never searched yet.

Search vocabulary

Domain group

customer insightscustomer analyticscustomer behaviourcustomer behaviorconsumer analyticscustomer segmentationcustomer journeyvoice of customer

Zenodo and arXiv take the whole group in one query. GitHub takes one phrase at a time and works left to right, stopping once the competency is satisfied — so on that lane this order decides which terms actually run.

The compiled queries

zenodo

("artificial intelligence" OR "machine learning" OR "generative AI" OR "deep learning" OR "reinforcement learning" OR "large language model" OR "AI") AND ("customer insights" OR "customer analytics" OR "customer behaviour" OR "customer behavior" OR "consumer analytics" OR "customer segmentation" OR "customer journey" OR "voice of customer")

arxiv

(all:"artificial intelligence" OR all:"machine learning" OR all:"generative AI" OR all:"deep learning" OR all:"reinforcement learning" OR all:"large language model") AND (all:"customer insights" OR all:"customer analytics" OR all:"customer behaviour" OR all:"customer behavior" OR all:"consumer analytics" OR all:"customer segmentation" OR all:"customer journey" OR all:"voice of customer")

github · term 1 AI "customer insights" in:name,description,readme fork:false archived:false

github · term 2 AI "customer analytics" in:name,description,readme fork:false archived:false

github · term 3 AI "customer behaviour" in:name,description,readme fork:false archived:false

github · term 4 AI "customer behavior" in:name,description,readme fork:false archived:false

github · term 5 AI "consumer analytics" in:name,description,readme fork:false archived:false

github · term 6 AI "customer segmentation" in:name,description,readme fork:false archived:false

github · term 7 AI "customer journey" in:name,description,readme fork:false archived:false

github · term 8 AI "voice of customer" in:name,description,readme fork:false archived:false

Profile 989c22eda50e19df

Alignment descriptor draft

Outcomes

Can use AI analytics to understand customer behaviour.
Can segment customers and interpret the segments.
Can turn customer insights into actions.

Develops it

Material that applies AI to customer analytics — segmentation, behaviour prediction, feedback analysis — with data the learner analyses.

Only mentions it

A customer dataset used to teach a generic technique.

Alignment terms

customer segmentationcustomer analyticschurn predictioncustomer behaviourcustomer behaviorcustomer feedback

Read in a resource's text beside the domain group. They are never compiled into a search.

Neighbours

R13 AI Market Analysis: R13 analyses markets; R22 customers.
R16 AI Value Proposition Design: R16 designs value propositions; R22 understands customers.

Descriptor 15ff469e6f3d

R23 Resilience & Entrepreneurial · Knowledge · Advanced

Regulatory Navigation for AI

Navigate regulatory frameworks affecting AI in business

Alignment

2 resources likely to contribute to it or develop it

0 decided at level 2 or 3 · 2 not decided yet, more likely than not

On a graded sample, 2 pairs were graded 2 or 3 for it, and the map counts 2.

Retrieval

0 resources harvested by searching its terms

Never searched yet.

Search vocabulary

Domain group

regulatory navigationregulatory strategybusiness complianceAI governanceregulatory frameworkEU AI Act compliancelegal requirementsregulatory readiness

Zenodo and arXiv take the whole group in one query. GitHub takes one phrase at a time and works left to right, stopping once the competency is satisfied — so on that lane this order decides which terms actually run.

The compiled queries

zenodo

("artificial intelligence" OR "machine learning" OR "generative AI" OR "deep learning" OR "reinforcement learning" OR "large language model" OR "AI") AND ("regulatory navigation" OR "regulatory strategy" OR "business compliance" OR "AI governance" OR "regulatory framework" OR "EU AI Act compliance" OR "legal requirements" OR "regulatory readiness")

arxiv

(all:"artificial intelligence" OR all:"machine learning" OR all:"generative AI" OR all:"deep learning" OR all:"reinforcement learning" OR all:"large language model") AND (all:"regulatory navigation" OR all:"regulatory strategy" OR all:"business compliance" OR all:"AI governance" OR all:"regulatory framework" OR all:"EU AI Act compliance" OR all:"legal requirements" OR all:"regulatory readiness")

github · term 1 AI "regulatory navigation" in:name,description,readme fork:false archived:false

github · term 2 AI "regulatory strategy" in:name,description,readme fork:false archived:false

github · term 3 AI "business compliance" in:name,description,readme fork:false archived:false

github · term 4 AI "AI governance" in:name,description,readme fork:false archived:false

github · term 5 AI "regulatory framework" in:name,description,readme fork:false archived:false

github · term 6 AI "EU AI Act compliance" in:name,description,readme fork:false archived:false

github · term 7 AI "legal requirements" in:name,description,readme fork:false archived:false

github · term 8 AI "regulatory readiness" in:name,description,readme fork:false archived:false

Profile 6e6d342b809383b4

Alignment descriptor draft

Outcomes

Can identify the regulations that affect an AI product or service.
Can plan compliance with them in a business.
Can track regulatory change and its consequences.

Develops it

Material on navigating AI regulation in business — obligations, compliance planning, governance — with cases.

Only mentions it

A licence or terms-of-service file.

Alignment terms

ai governanceregulatory complianceregulatory requirementscompliance programmelegal requirements

Read in a resource's text beside the domain group. They are never compiled into a search.

Neighbours

D19 AI Regulatory Awareness: D19 understands the AI Act; R23 navigates regulation in business.
R15 AI Ethics in Entrepreneurship: R15 is ethics; R23 compliance.
R27 Human Agency & Oversight Strategy: R27 designs oversight; R23 compliance as a whole.

Descriptor f85c1b70be1a

R24 Resilience & Entrepreneurial · Attitude · Intermediate

Community of Practice Building

Foster networks for sharing AI best practices

Alignment

0 resources likely to contribute to it or develop it

None found yet in what the alignment has read.

What the map misses here is not measured: the graded sample holds no pair graded 2 or 3 for it.

Retrieval

0 resources harvested by searching its terms

Never searched yet.

Search vocabulary

Domain group

community of practiceprofessional learning networkknowledge sharing networkpeer learning communitypractice networkbest practice sharingprofessional community

Zenodo and arXiv take the whole group in one query. GitHub takes one phrase at a time and works left to right, stopping once the competency is satisfied — so on that lane this order decides which terms actually run.

The compiled queries

zenodo

("artificial intelligence" OR "machine learning" OR "generative AI" OR "deep learning" OR "reinforcement learning" OR "large language model" OR "AI") AND ("community of practice" OR "professional learning network" OR "knowledge sharing network" OR "peer learning community" OR "practice network" OR "best practice sharing" OR "professional community")

arxiv

(all:"artificial intelligence" OR all:"machine learning" OR all:"generative AI" OR all:"deep learning" OR all:"reinforcement learning" OR all:"large language model") AND (all:"community of practice" OR all:"professional learning network" OR all:"knowledge sharing network" OR all:"peer learning community" OR all:"practice network" OR all:"best practice sharing" OR all:"professional community")

github · term 1 AI "community of practice" in:name,description,readme fork:false archived:false

github · term 2 AI "professional learning network" in:name,description,readme fork:false archived:false

github · term 3 AI "knowledge sharing network" in:name,description,readme fork:false archived:false

github · term 4 AI "peer learning community" in:name,description,readme fork:false archived:false

github · term 5 AI "practice network" in:name,description,readme fork:false archived:false

github · term 6 AI "best practice sharing" in:name,description,readme fork:false archived:false

github · term 7 AI "professional community" in:name,description,readme fork:false archived:false

Profile 2b776d0904976256

Alignment descriptor draft

Outcomes

Can start or contribute to a community of practice around AI.
Can share practices and learn from peers.
Can sustain a community's engagement.

Develops it

Material on building communities of practice — structure, facilitation, knowledge sharing — with activities that plan or run one.

Only mentions it

An invitation to join a project's Discord.

Alignment terms

community of practiceknowledge sharingpeer learningprofessional networkbest practices sharing

Read in a resource's text beside the domain group. They are never compiled into a search.

False friends

join our discordjoin the community

A term found beside one of these is read as another sense of the words, not as this competency.

Neighbours

R11 Collaborative AI Problem Solving: R11 solves problems in a team; R24 builds a community.
G17 Green AI Advocacy: G17 campaigns; R24 shares practice.

Descriptor 4c62535be5dd

R25 Resilience & Entrepreneurial · Skill · Advanced

Resilient AI Systems Design

Contribute to robust, fault-tolerant AI systems

Alignment

0 resources likely to contribute to it or develop it

None found yet in what the alignment has read.

What the map misses here is not measured: the graded sample holds no pair graded 2 or 3 for it.

Retrieval

0 resources harvested by searching its terms

Never searched yet.

Search vocabulary

Domain group

resilient AI systemsfault tolerancerobust AIsystem reliabilityfailure recoverygraceful degradationAI resiliencehigh availability

Zenodo and arXiv take the whole group in one query. GitHub takes one phrase at a time and works left to right, stopping once the competency is satisfied — so on that lane this order decides which terms actually run.

The compiled queries

zenodo

("artificial intelligence" OR "machine learning" OR "generative AI" OR "deep learning" OR "reinforcement learning" OR "large language model" OR "AI") AND ("resilient AI systems" OR "fault tolerance" OR "robust AI" OR "system reliability" OR "failure recovery" OR "graceful degradation" OR "AI resilience" OR "high availability")

arxiv

(all:"artificial intelligence" OR all:"machine learning" OR all:"generative AI" OR all:"deep learning" OR all:"reinforcement learning" OR all:"large language model") AND (all:"resilient AI systems" OR all:"fault tolerance" OR all:"robust AI" OR all:"system reliability" OR all:"failure recovery" OR all:"graceful degradation" OR all:"AI resilience" OR all:"high availability")

github · term 1 AI "resilient AI systems" in:name,description,readme fork:false archived:false

github · term 2 AI "fault tolerance" in:name,description,readme fork:false archived:false

github · term 3 AI "robust AI" in:name,description,readme fork:false archived:false

github · term 4 AI "system reliability" in:name,description,readme fork:false archived:false

github · term 5 AI "failure recovery" in:name,description,readme fork:false archived:false

github · term 6 AI "graceful degradation" in:name,description,readme fork:false archived:false

github · term 7 AI "AI resilience" in:name,description,readme fork:false archived:false

github · term 8 AI "high availability" in:name,description,readme fork:false archived:false

Profile 3db4884c6fe66754

Alignment descriptor draft

Outcomes

Can design AI systems that tolerate faults and degrade gracefully.
Can test a system's robustness to bad inputs and failures.
Can monitor reliability and plan recovery.

Develops it

Material on resilient AI systems — fault tolerance, robustness testing, fallbacks, monitoring — with practice on a system.

Only mentions it

A retry setting in a client library's configuration.

Alignment terms

fault tolerancemodel robustnessgraceful degradationfallback strategysystem reliability

Read in a resource's text beside the domain group. They are never compiled into a search.

Neighbours

D17 AI Safety & Security: D17 is security threats; R25 robustness to faults.
T13 AI Systems Deployment: T13 deploys and monitors AI; R25 makes it resilient.
R06 Post-Crisis AI Recovery: R06 recovers an organisation; R25 builds resilient systems.

Descriptor cf142a8845b6

R26 Resilience & Entrepreneurial · Skill · Intermediate

AI-Powered Process Optimisation

Apply AI to analyse, redesign and continuously improve existing organisational processes (throughput, error rates, lead time)

Alignment

0 resources likely to contribute to it or develop it

None found yet in what the alignment has read.

On a graded sample, 1 pair was graded 2 or 3 for it, and the map counts 0.

Retrieval

0 resources harvested by searching its terms

Never searched yet.

Search vocabulary

Domain group

process optimisationprocess optimizationbusiness process improvementprocess redesignthroughput improvementerror rate reductionlead time reductioncontinuous improvementprocess mining

Zenodo and arXiv take the whole group in one query. GitHub takes one phrase at a time and works left to right, stopping once the competency is satisfied — so on that lane this order decides which terms actually run.

The compiled queries

zenodo

("artificial intelligence" OR "machine learning" OR "generative AI" OR "deep learning" OR "reinforcement learning" OR "large language model" OR "AI") AND ("process optimisation" OR "process optimization" OR "business process improvement" OR "process redesign" OR "throughput improvement" OR "error rate reduction" OR "lead time reduction" OR "continuous improvement" OR "process mining")

arxiv

(all:"artificial intelligence" OR all:"machine learning" OR all:"generative AI" OR all:"deep learning" OR all:"reinforcement learning" OR all:"large language model") AND (all:"process optimisation" OR all:"process optimization" OR all:"business process improvement" OR all:"process redesign" OR all:"throughput improvement" OR all:"error rate reduction" OR all:"lead time reduction" OR all:"continuous improvement" OR all:"process mining")

github · term 1 AI "process optimisation" in:name,description,readme fork:false archived:false

github · term 2 AI "process optimization" in:name,description,readme fork:false archived:false

github · term 3 AI "business process improvement" in:name,description,readme fork:false archived:false

github · term 4 AI "process redesign" in:name,description,readme fork:false archived:false

github · term 5 AI "throughput improvement" in:name,description,readme fork:false archived:false

github · term 6 AI "error rate reduction" in:name,description,readme fork:false archived:false

github · term 7 AI "lead time reduction" in:name,description,readme fork:false archived:false

github · term 8 AI "continuous improvement" in:name,description,readme fork:false archived:false

github · term 9 AI "process mining" in:name,description,readme fork:false archived:false

Profile 65f3c11ba54fad58

Alignment descriptor draft

Outcomes

Can analyse an organisational process with AI and identify inefficiencies.
Can redesign the process and measure improvement in throughput, errors or lead time.
Can set up continuous improvement with data.

Develops it

Material on AI-powered process optimisation — process mining, analysis, redesign, measurement — with a process the learner improves.

Only mentions it

Optimising a model's hyperparameters, or a script's runtime.

Alignment terms

process miningprocess optimisationprocess optimizationlean managementbottleneck analysislead time

Read in a resource's text beside the domain group. They are never compiled into a search.

False friends

hyperparameter optimizationhyperparameter optimisation

A term found beside one of these is read as another sense of the words, not as this competency.

Neighbours

R14 Resilience Through Automation: R14 automates for resilience; R26 optimises processes.
D23 AI Workflow Integration: D23 integrates AI into one's own workflow; R26 redesigns organisational processes.

Descriptor 9fa0ca43b1cf

R27 Resilience & Entrepreneurial · Skill · Advanced

Human Agency & Oversight Strategy

Design organisational arrangements that preserve meaningful human agency and oversight over AI-supported decisions, in line with EU AI Act Article 14

Alignment

0 resources likely to contribute to it or develop it

None found yet in what the alignment has read.

On a graded sample, 1 pair was graded 2 or 3 for it, and the map counts 0.

Retrieval

0 resources harvested by searching its terms

Never searched yet.

Search vocabulary

Domain group

human agencyhuman oversightmeaningful human controlAI governance arrangementsEU AI Act Article 14oversight strategyhuman interventioncontestable decisions

Zenodo and arXiv take the whole group in one query. GitHub takes one phrase at a time and works left to right, stopping once the competency is satisfied — so on that lane this order decides which terms actually run.

The compiled queries

zenodo

("artificial intelligence" OR "machine learning" OR "generative AI" OR "deep learning" OR "reinforcement learning" OR "large language model" OR "AI") AND ("human agency" OR "human oversight" OR "meaningful human control" OR "AI governance arrangements" OR "EU AI Act Article 14" OR "oversight strategy" OR "human intervention" OR "contestable decisions")

arxiv

(all:"artificial intelligence" OR all:"machine learning" OR all:"generative AI" OR all:"deep learning" OR all:"reinforcement learning" OR all:"large language model") AND (all:"human agency" OR all:"human oversight" OR all:"meaningful human control" OR all:"AI governance arrangements" OR all:"EU AI Act Article 14" OR all:"oversight strategy" OR all:"human intervention" OR all:"contestable decisions")

github · term 1 AI "human agency" in:name,description,readme fork:false archived:false

github · term 2 AI "human oversight" in:name,description,readme fork:false archived:false

github · term 3 AI "meaningful human control" in:name,description,readme fork:false archived:false

github · term 4 AI "AI governance arrangements" in:name,description,readme fork:false archived:false

github · term 5 AI "EU AI Act Article 14" in:name,description,readme fork:false archived:false

github · term 6 AI "oversight strategy" in:name,description,readme fork:false archived:false

github · term 7 AI "human intervention" in:name,description,readme fork:false archived:false

github · term 8 AI "contestable decisions" in:name,description,readme fork:false archived:false

Profile 49527d6aa7d18bb6

Alignment descriptor draft

Outcomes

Can design organisational arrangements for meaningful human oversight of AI.
Can define who can intervene, when and how, in AI-supported decisions.
Can relate the arrangements to the AI Act's requirements on oversight.

Develops it

Material on human agency and oversight strategy — roles, intervention points, contestability, Article 14 — with designs the learner produces.

Only mentions it

A sentence that humans remain in control.

Alignment terms

human oversighthuman agencymeaningful human controlarticle 14contestability

Read in a resource's text beside the domain group. They are never compiled into a search.

Neighbours

D07 AI-Augmented Decision Making: D07 is an individual's decision; R27 organisational oversight.
D22 Responsible AI Use Mindset: D22 keeps a human in the loop in one's own use; R27 designs it for an organisation.
D19 AI Regulatory Awareness: D19 is the AI Act as a whole; R27 oversight under it.

Descriptor c8e0be89481e

T01 Deep Tech · Knowledge · Foundation

Neural Network Architecture

Understand structure of neural networks and deep learning

Alignment

7 resources likely to contribute to it or develop it

0 decided at level 2 or 3 · 7 not decided yet, more likely than not

On a graded sample, 9 pairs were graded 2 or 3 for it, and the map counts 3.

Retrieval

0 resources harvested by searching its terms

Never searched yet.

Search vocabulary

Domain group

neural network architectureneural network layersneural netsactivation functionbackpropagationconvolutional networkrecurrent networkdeep neural networktransformer modelmixture of expertsMoEmodel parametersweight matrix

Zenodo and arXiv take the whole group in one query. GitHub takes one phrase at a time and works left to right, stopping once the competency is satisfied — so on that lane this order decides which terms actually run.

The compiled queries

zenodo

("artificial intelligence" OR "machine learning" OR "generative AI" OR "deep learning" OR "reinforcement learning" OR "large language model" OR "AI") AND ("neural network architecture" OR "neural network layers" OR "neural nets" OR "activation function" OR "backpropagation" OR "convolutional network" OR "recurrent network" OR "deep neural network" OR "transformer model" OR "mixture of experts" OR "MoE" OR "model parameters" OR "weight matrix")

arxiv

(all:"artificial intelligence" OR all:"machine learning" OR all:"generative AI" OR all:"deep learning" OR all:"reinforcement learning" OR all:"large language model") AND (all:"neural network architecture" OR all:"neural network layers" OR all:"neural nets" OR all:"activation function" OR all:"backpropagation" OR all:"convolutional network" OR all:"recurrent network" OR all:"deep neural network" OR all:"transformer model" OR all:"mixture of experts" OR all:"MoE" OR all:"model parameters" OR all:"weight matrix")

github · term 1 AI "neural network architecture" in:name,description,readme fork:false archived:false

github · term 2 AI "neural network layers" in:name,description,readme fork:false archived:false

github · term 3 AI "neural nets" in:name,description,readme fork:false archived:false

github · term 4 AI "activation function" in:name,description,readme fork:false archived:false

github · term 5 AI "backpropagation" in:name,description,readme fork:false archived:false

github · term 6 AI "convolutional network" in:name,description,readme fork:false archived:false

github · term 7 AI "recurrent network" in:name,description,readme fork:false archived:false

github · term 8 AI "deep neural network" in:name,description,readme fork:false archived:false

github · term 9 AI "transformer model" in:name,description,readme fork:false archived:false

github · term 10 AI "mixture of experts" in:name,description,readme fork:false archived:false

github · term 11 AI "MoE" in:name,description,readme fork:false archived:false

github · term 12 AI "model parameters" in:name,description,readme fork:false archived:false

github · term 13 AI "weight matrix" in:name,description,readme fork:false archived:false

Profile 5480b268be632d14

Alignment descriptor draft

Outcomes

Can explain neurons, layers, weights, activation functions and how a network computes an output.
Can explain how backpropagation and gradient descent train a network.
Can describe convolutional, recurrent and transformer architectures and what each suits.

Develops it

Material that explains the structure of neural networks and deep learning, usually with diagrams and code that builds a small network.

Only mentions it

A pre-trained network used as a black box, or a text that calls a model 'a deep neural network' in passing.

Alignment terms

neural networkneural networksperceptronmultilayer perceptronhidden layergradient descentconvolutional neural networkrecurrent neural networklstm

Read in a resource's text beside the domain group. They are never compiled into a search.

Neighbours

T12 Generative AI Architecture: T12 explains generative architectures such as transformers and diffusion; T01 neural networks in general.
T02 Deep Learning Frameworks: T02 uses frameworks to build models; T01 understands how networks work.
D02 Machine Learning Fundamentals: D02 is the learning paradigms; T01 is network structure.

Descriptor be6a4b4e832f

T02 Deep Tech · Skill · Intermediate

Deep Learning Frameworks

Use TensorFlow, PyTorch for AI model development

Alignment

2 resources likely to contribute to it or develop it

0 decided at level 2 or 3 · 2 not decided yet, more likely than not

On a graded sample, 1 pair was graded 2 or 3 for it, and the map counts 1.

Retrieval

0 resources harvested by searching its terms

Never searched yet.

Search vocabulary

Domain group

deep learning frameworkTensorFlowPyTorchKerasJAXneural network librarymodel development framework

Zenodo and arXiv take the whole group in one query. GitHub takes one phrase at a time and works left to right, stopping once the competency is satisfied — so on that lane this order decides which terms actually run.

The compiled queries

zenodo

("artificial intelligence" OR "machine learning" OR "generative AI" OR "deep learning" OR "reinforcement learning" OR "large language model" OR "AI") AND ("deep learning framework" OR "TensorFlow" OR "PyTorch" OR "Keras" OR "JAX" OR "neural network library" OR "model development framework")

arxiv

(all:"artificial intelligence" OR all:"machine learning" OR all:"generative AI" OR all:"deep learning" OR all:"reinforcement learning" OR all:"large language model") AND (all:"deep learning framework" OR all:"TensorFlow" OR all:"PyTorch" OR all:"Keras" OR all:"JAX" OR all:"neural network library" OR all:"model development framework")

github · term 1 AI "deep learning framework" in:name,description,readme fork:false archived:false

github · term 2 AI "TensorFlow" in:name,description,readme fork:false archived:false

github · term 3 AI "PyTorch" in:name,description,readme fork:false archived:false

github · term 4 AI "Keras" in:name,description,readme fork:false archived:false

github · term 5 AI "JAX" in:name,description,readme fork:false archived:false

github · term 6 AI "neural network library" in:name,description,readme fork:false archived:false

github · term 7 AI "model development framework" in:name,description,readme fork:false archived:false

Profile 6d6268cad573ff31

Alignment descriptor draft

Outcomes

Can build, train and evaluate a model in TensorFlow, Keras, PyTorch or JAX.
Can load data, define layers, choose a loss and an optimiser, and run a training loop.
Can save, load and debug a model in the framework.

Develops it

Hands-on material that teaches a deep learning framework by building and training models with it.

Only mentions it

A framework listed in requirements, or a pre-trained model loaded in two lines.

Alignment terms

tensorflowpytorchkerasjaxtraining looptorch.nnoptimizerloss function

Read in a resource's text beside the domain group. They are never compiled into a search.

False friends

pip install

A term found beside one of these is read as another sense of the words, not as this competency.

Neighbours

T16 AI Programming Proficiency: T16 is Python with machine learning libraries in general; T02 deep learning frameworks.
T01 Neural Network Architecture: T01 understands network structure; T02 builds networks in a framework.
T11 Transfer Learning & Fine-tuning: T11 fine-tunes pre-trained models; T02 builds and trains models.

Descriptor 240c25f0ee78

T03 Deep Tech · Skill · Advanced

NLP Engineering

Develop and fine-tune NLP models and applications

Alignment

6 resources likely to contribute to it or develop it

0 decided at level 2 or 3 · 6 not decided yet, more likely than not

On a graded sample, 3 pairs were graded 2 or 3 for it, and the map counts 1.

Retrieval

0 resources harvested by searching its terms

Never searched yet.

Search vocabulary

Domain group

NLP engineeringnatural language processinglanguage model fine-tuningtext processing pipelinenamed entity recognitionsequence labellingsequence labelinginformation extractiontext classificationsentiment analysismachine translationquestion answeringlanguage generationlanguage application development

Zenodo and arXiv take the whole group in one query. GitHub takes one phrase at a time and works left to right, stopping once the competency is satisfied — so on that lane this order decides which terms actually run.

The compiled queries

zenodo

("artificial intelligence" OR "machine learning" OR "generative AI" OR "deep learning" OR "reinforcement learning" OR "large language model" OR "AI") AND ("NLP engineering" OR "natural language processing" OR "language model fine-tuning" OR "text processing pipeline" OR "named entity recognition" OR "sequence labelling" OR "sequence labeling" OR "information extraction" OR "text classification" OR "sentiment analysis" OR "machine translation" OR "question answering" OR "language generation" OR "language application development")

arxiv

(all:"artificial intelligence" OR all:"machine learning" OR all:"generative AI" OR all:"deep learning" OR all:"reinforcement learning" OR all:"large language model") AND (all:"NLP engineering" OR all:"natural language processing" OR all:"language model fine-tuning" OR all:"text processing pipeline" OR all:"named entity recognition" OR all:"sequence labelling" OR all:"sequence labeling" OR all:"information extraction" OR all:"text classification" OR all:"sentiment analysis" OR all:"machine translation" OR all:"question answering" OR all:"language generation" OR all:"language application development")

github · term 1 AI "NLP engineering" in:name,description,readme fork:false archived:false

github · term 2 AI "natural language processing" in:name,description,readme fork:false archived:false

github · term 3 AI "language model fine-tuning" in:name,description,readme fork:false archived:false

github · term 4 AI "text processing pipeline" in:name,description,readme fork:false archived:false

github · term 5 AI "named entity recognition" in:name,description,readme fork:false archived:false

github · term 6 AI "sequence labelling" in:name,description,readme fork:false archived:false

github · term 7 AI "sequence labeling" in:name,description,readme fork:false archived:false

github · term 8 AI "information extraction" in:name,description,readme fork:false archived:false

github · term 9 AI "text classification" in:name,description,readme fork:false archived:false

github · term 10 AI "sentiment analysis" in:name,description,readme fork:false archived:false

github · term 11 AI "machine translation" in:name,description,readme fork:false archived:false

github · term 12 AI "question answering" in:name,description,readme fork:false archived:false

github · term 13 AI "language generation" in:name,description,readme fork:false archived:false

github · term 14 AI "language application development" in:name,description,readme fork:false archived:false

Profile 47e344d4b2e76652

Alignment descriptor draft

Outcomes

Can build an NLP application: preprocessing, a model, evaluation.
Can fine-tune or adapt a language model for a task such as classification or extraction.
Can choose techniques and models for a language task.

Develops it

Hands-on material on building NLP systems — tokenisation, embeddings, models, fine-tuning, evaluation — with code the learner runs and modifies.

Only mentions it

A chatbot built by calling an API without any language processing of its own.

Alignment terms

named entity recognitiontext classificationsentiment analysistokenizerhugging face transformersquestion answeringtext summarizationtext summarisation

Read in a resource's text beside the domain group. They are never compiled into a search.

Neighbours

D13 NLP Awareness: D13 is awareness of how NLP works; T03 builds NLP systems.
T11 Transfer Learning & Fine-tuning: T11 is fine-tuning in general; T03 language applications.
T12 Generative AI Architecture: T12 explains generative architectures; T03 builds language applications.

Descriptor 2e4ea97b60b6

T04 Deep Tech · Skill · Advanced

Computer Vision Development

Build and deploy computer vision systems

Alignment

4 resources likely to contribute to it or develop it

0 decided at level 2 or 3 · 4 not decided yet, more likely than not

On a graded sample, 1 pair was graded 2 or 3 for it, and the map counts 1.

Retrieval

0 resources harvested by searching its terms

Never searched yet.

Search vocabulary

Domain group

computer vision developmentimage classificationobject detectionimage segmentationvisual recognitionOpenCVvision model deploymentvision language modelGPT-4Vmultimodal modelimage reasoningimage-text retrieval

Zenodo and arXiv take the whole group in one query. GitHub takes one phrase at a time and works left to right, stopping once the competency is satisfied — so on that lane this order decides which terms actually run.

The compiled queries

zenodo

("artificial intelligence" OR "machine learning" OR "generative AI" OR "deep learning" OR "reinforcement learning" OR "large language model" OR "AI") AND ("computer vision development" OR "image classification" OR "object detection" OR "image segmentation" OR "visual recognition" OR "OpenCV" OR "vision model deployment" OR "vision language model" OR "GPT-4V" OR "multimodal model" OR "image reasoning" OR "image-text retrieval")

arxiv

(all:"artificial intelligence" OR all:"machine learning" OR all:"generative AI" OR all:"deep learning" OR all:"reinforcement learning" OR all:"large language model") AND (all:"computer vision development" OR all:"image classification" OR all:"object detection" OR all:"image segmentation" OR all:"visual recognition" OR all:"OpenCV" OR all:"vision model deployment" OR all:"vision language model" OR all:"GPT-4V" OR all:"multimodal model" OR all:"image reasoning" OR all:"image-text retrieval")

github · term 1 AI "computer vision development" in:name,description,readme fork:false archived:false

github · term 2 AI "image classification" in:name,description,readme fork:false archived:false

github · term 3 AI "object detection" in:name,description,readme fork:false archived:false

github · term 4 AI "image segmentation" in:name,description,readme fork:false archived:false

github · term 5 AI "visual recognition" in:name,description,readme fork:false archived:false

github · term 6 AI "OpenCV" in:name,description,readme fork:false archived:false

github · term 7 AI "vision model deployment" in:name,description,readme fork:false archived:false

github · term 8 AI "vision language model" in:name,description,readme fork:false archived:false

github · term 9 AI "GPT-4V" in:name,description,readme fork:false archived:false

github · term 10 AI "multimodal model" in:name,description,readme fork:false archived:false

github · term 11 AI "image reasoning" in:name,description,readme fork:false archived:false

github · term 12 AI "image-text retrieval" in:name,description,readme fork:false archived:false

Profile 306be0a51756252b

Alignment descriptor draft

Outcomes

Can build a computer vision system: data, model, training, evaluation.
Can apply classification, detection or segmentation to images.
Can deploy a vision model and assess it on new images.

Develops it

Hands-on material on building vision systems with OpenCV, deep learning or vision-language models, where the learner trains, runs or deploys one.

Only mentions it

An image displayed in a notebook about another subject.

Alignment terms

opencvimage segmentationobject detectionimage classificationyolovision transformerdata augmentation

Read in a resource's text beside the domain group. They are never compiled into a search.

Neighbours

D14 Computer Vision Awareness: D14 is awareness of computer vision; T04 builds vision systems.
T19 Edge AI & IoT Integration: T19 deploys to edge devices; T04 builds vision systems.

Descriptor a601cb51e146

T05 Deep Tech · Knowledge · Advanced

Reinforcement Learning

Apply RL principles to decision-making systems

Alignment

3 resources likely to contribute to it or develop it

1 decided at level 2 or 3 (1 develops it) · 2 not decided yet, more likely than not

On a graded sample, 5 pairs were graded 2 or 3 for it, and the map counts 1.

Retrieval

0 resources harvested by searching its terms

Never searched yet.

Search vocabulary

Domain group

reinforcement learningMarkov decision processreward functionpolicy learningQ-learningactor criticagent environmentGRPOgroup relative policy optimizationPPOproximal policy optimizationreward policy

Zenodo and arXiv take the whole group in one query. GitHub takes one phrase at a time and works left to right, stopping once the competency is satisfied — so on that lane this order decides which terms actually run.

The compiled queries

zenodo

("artificial intelligence" OR "machine learning" OR "generative AI" OR "deep learning" OR "reinforcement learning" OR "large language model" OR "AI") AND ("reinforcement learning" OR "Markov decision process" OR "reward function" OR "policy learning" OR "Q-learning" OR "actor critic" OR "agent environment" OR "GRPO" OR "group relative policy optimization" OR "PPO" OR "proximal policy optimization" OR "reward policy")

arxiv

(all:"artificial intelligence" OR all:"machine learning" OR all:"generative AI" OR all:"deep learning" OR all:"reinforcement learning" OR all:"large language model") AND (all:"reinforcement learning" OR all:"Markov decision process" OR all:"reward function" OR all:"policy learning" OR all:"Q-learning" OR all:"actor critic" OR all:"agent environment" OR all:"GRPO" OR all:"group relative policy optimization" OR all:"PPO" OR all:"proximal policy optimization" OR all:"reward policy")

github · term 1 AI "reinforcement learning" in:name,description,readme fork:false archived:false

github · term 2 AI "Markov decision process" in:name,description,readme fork:false archived:false

github · term 3 AI "reward function" in:name,description,readme fork:false archived:false

github · term 4 AI "policy learning" in:name,description,readme fork:false archived:false

github · term 5 AI "Q-learning" in:name,description,readme fork:false archived:false

github · term 6 AI "actor critic" in:name,description,readme fork:false archived:false

github · term 7 AI "agent environment" in:name,description,readme fork:false archived:false

github · term 8 AI "GRPO" in:name,description,readme fork:false archived:false

github · term 9 AI "group relative policy optimization" in:name,description,readme fork:false archived:false

github · term 10 AI "PPO" in:name,description,readme fork:false archived:false

github · term 11 AI "proximal policy optimization" in:name,description,readme fork:false archived:false

github · term 12 AI "reward policy" in:name,description,readme fork:false archived:false

Profile edf20909117deb40

Alignment descriptor draft

Outcomes

Can formulate a decision problem as a Markov decision process.
Can implement and train a reinforcement learning agent such as Q-learning or policy gradient.
Can explain exploration, reward design and their pitfalls.

Develops it

Material that teaches reinforcement learning — MDPs, value and policy methods, training agents — with environments the learner codes against.

Only mentions it

RLHF named as a step in training a chatbot, with no reinforcement learning taught.

Alignment terms

reinforcement learningq-learningpolicy gradientreward functionmarkov decision processopenai gymgymnasiumexploration exploitation

Read in a resource's text beside the domain group. They are never compiled into a search.

Neighbours

D02 Machine Learning Fundamentals: D02 places RL among the paradigms; T05 applies it.
D27 Working with AI Agents: D27's agents use models and tools; T05's learn from rewards.
T25 Advanced AI Problem Formulation: T25 formalises problems in general; T05 as MDPs for RL.

Descriptor 3a3d76906dd0

T06 Deep Tech · Skill · Intermediate

AI Algorithm Design

Design algorithms for classification, regression, clustering

Alignment

2 resources likely to contribute to it or develop it

0 decided at level 2 or 3 · 2 not decided yet, more likely than not

On a graded sample, 2 pairs were graded 2 or 3 for it, and the map counts 1.

Retrieval

0 resources harvested by searching its terms

Never searched yet.

Search vocabulary

Domain group

AI algorithm designclassification algorithmregression algorithmclustering algorithmfeature engineeringoptimization algorithmmachine learning algorithm

Zenodo and arXiv take the whole group in one query. GitHub takes one phrase at a time and works left to right, stopping once the competency is satisfied — so on that lane this order decides which terms actually run.

The compiled queries

zenodo

("artificial intelligence" OR "machine learning" OR "generative AI" OR "deep learning" OR "reinforcement learning" OR "large language model" OR "AI") AND ("AI algorithm design" OR "classification algorithm" OR "regression algorithm" OR "clustering algorithm" OR "feature engineering" OR "optimization algorithm" OR "machine learning algorithm")

arxiv

(all:"artificial intelligence" OR all:"machine learning" OR all:"generative AI" OR all:"deep learning" OR all:"reinforcement learning" OR all:"large language model") AND (all:"AI algorithm design" OR all:"classification algorithm" OR all:"regression algorithm" OR all:"clustering algorithm" OR all:"feature engineering" OR all:"optimization algorithm" OR all:"machine learning algorithm")

github · term 1 AI "AI algorithm design" in:name,description,readme fork:false archived:false

github · term 2 AI "classification algorithm" in:name,description,readme fork:false archived:false

github · term 3 AI "regression algorithm" in:name,description,readme fork:false archived:false

github · term 4 AI "clustering algorithm" in:name,description,readme fork:false archived:false

github · term 5 AI "feature engineering" in:name,description,readme fork:false archived:false

github · term 6 AI "optimization algorithm" in:name,description,readme fork:false archived:false

github · term 7 AI "machine learning algorithm" in:name,description,readme fork:false archived:false

Profile 60a0916acf148fd4

Alignment descriptor draft

Outcomes

Can choose and implement an algorithm for classification, regression or clustering.
Can engineer features and tune an algorithm for a task.
Can compare algorithms and explain why one suits a problem better.

Develops it

Hands-on material where the learner implements or applies classification, regression or clustering algorithms to a problem and compares them.

Only mentions it

An algorithm named in a list of methods, or a model fitted with default settings and no discussion.

Alignment terms

linear regressionlogistic regressiondecision treerandom forestsupport vector machinek-meansnaive bayesk-nearest neighborsgradient boostingfeature engineering

Read in a resource's text beside the domain group. They are never compiled into a search.

Neighbours

D02 Machine Learning Fundamentals: D02 understands the paradigms; T06 designs and applies algorithms.
T25 Advanced AI Problem Formulation: T25 formalises the problem; T06 designs the algorithm.
T10 AI Model Evaluation: T10 evaluates models; T06 builds them.

Descriptor 81b69c5d5bd6

T07 Deep Tech · Skill · Advanced

Model-Driven Engineering for AI

Apply MDE to AI system development and educational tools

Alignment

0 resources likely to contribute to it or develop it

None found yet in what the alignment has read.

What the map misses here is not measured: the graded sample holds no pair graded 2 or 3 for it.

Retrieval

0 resources harvested by searching its terms

Never searched yet.

Search vocabulary

Domain group

model-driven engineeringmodel-driven developmentMDE for AImetamodelingmetamodellingdomain-specific languagemodel transformationAI system modelling

Zenodo and arXiv take the whole group in one query. GitHub takes one phrase at a time and works left to right, stopping once the competency is satisfied — so on that lane this order decides which terms actually run.

The compiled queries

zenodo

("artificial intelligence" OR "machine learning" OR "generative AI" OR "deep learning" OR "reinforcement learning" OR "large language model" OR "AI") AND ("model-driven engineering" OR "model-driven development" OR "MDE for AI" OR "metamodeling" OR "metamodelling" OR "domain-specific language" OR "model transformation" OR "AI system modelling")

arxiv

(all:"artificial intelligence" OR all:"machine learning" OR all:"generative AI" OR all:"deep learning" OR all:"reinforcement learning" OR all:"large language model") AND (all:"model-driven engineering" OR all:"model-driven development" OR all:"MDE for AI" OR all:"metamodeling" OR all:"metamodelling" OR all:"domain-specific language" OR all:"model transformation" OR all:"AI system modelling")

github · term 1 AI "model-driven engineering" in:name,description,readme fork:false archived:false

github · term 2 AI "model-driven development" in:name,description,readme fork:false archived:false

github · term 3 AI "MDE for AI" in:name,description,readme fork:false archived:false

github · term 4 AI "metamodeling" in:name,description,readme fork:false archived:false

github · term 5 AI "metamodelling" in:name,description,readme fork:false archived:false

github · term 6 AI "domain-specific language" in:name,description,readme fork:false archived:false

github · term 7 AI "model transformation" in:name,description,readme fork:false archived:false

github · term 8 AI "AI system modelling" in:name,description,readme fork:false archived:false

Profile 1ae6e32dae57c903

Alignment descriptor draft

Outcomes

Can model an AI system or educational tool with model-driven engineering techniques.
Can define a metamodel or domain-specific language for an AI domain.
Can generate or transform artefacts from models.

Develops it

Material on model-driven engineering applied to AI or educational tools — metamodels, DSLs, transformations — with practice building them.

Only mentions it

'Model' used in the machine learning sense in a software architecture text.

Alignment terms

model-driven engineeringmetamodeldomain-specific languagemodel transformationuml

Read in a resource's text beside the domain group. They are never compiled into a search.

Neighbours

T15 Digital Twin Engineering: T15 designs digital twins; T07 applies model-driven engineering.
T08 AI & Software Integration: T08 integrates AI into software; T07 models the software.

Descriptor aa1020325926

T08 Deep Tech · Skill · Intermediate

AI & Software Integration

Integrate AI into software engineering workflows

Alignment

23 resources likely to contribute to it or develop it

0 decided at level 2 or 3 · 23 not decided yet, more likely than not

On a graded sample, 7 pairs were graded 2 or 3 for it, and the map counts 2.

Retrieval

0 resources harvested by searching its terms

Never searched yet.

Search vocabulary

Domain group

AI software integrationsoftware engineering workflowAI API integrationapplication integrationAI-enabled softwaresoftware architectureAI component integrationLLM APIOpenAI APIembedding APIAI SDKModel Context ProtocolMCP serverMCP clienttool callingfunction callingexternal toolsexternal data sources

Zenodo and arXiv take the whole group in one query. GitHub takes one phrase at a time and works left to right, stopping once the competency is satisfied — so on that lane this order decides which terms actually run.

The compiled queries

zenodo

("artificial intelligence" OR "machine learning" OR "generative AI" OR "deep learning" OR "reinforcement learning" OR "large language model" OR "AI") AND ("AI software integration" OR "software engineering workflow" OR "AI API integration" OR "application integration" OR "AI-enabled software" OR "software architecture" OR "AI component integration" OR "LLM API" OR "OpenAI API" OR "embedding API" OR "AI SDK" OR "Model Context Protocol" OR "MCP server" OR "MCP client" OR "tool calling" OR "function calling" OR "external tools" OR "external data sources")

arxiv

(all:"artificial intelligence" OR all:"machine learning" OR all:"generative AI" OR all:"deep learning" OR all:"reinforcement learning" OR all:"large language model") AND (all:"AI software integration" OR all:"software engineering workflow" OR all:"AI API integration" OR all:"application integration" OR all:"AI-enabled software" OR all:"software architecture" OR all:"AI component integration" OR all:"LLM API" OR all:"OpenAI API" OR all:"embedding API" OR all:"AI SDK" OR all:"Model Context Protocol" OR all:"MCP server" OR all:"MCP client" OR all:"tool calling" OR all:"function calling" OR all:"external tools" OR all:"external data sources")

github · term 1 AI "AI software integration" in:name,description,readme fork:false archived:false

github · term 2 AI "software engineering workflow" in:name,description,readme fork:false archived:false

github · term 3 AI "AI API integration" in:name,description,readme fork:false archived:false

github · term 4 AI "application integration" in:name,description,readme fork:false archived:false

github · term 5 AI "AI-enabled software" in:name,description,readme fork:false archived:false

github · term 6 AI "software architecture" in:name,description,readme fork:false archived:false

github · term 7 AI "AI component integration" in:name,description,readme fork:false archived:false

github · term 8 AI "LLM API" in:name,description,readme fork:false archived:false

github · term 9 AI "OpenAI API" in:name,description,readme fork:false archived:false

github · term 10 AI "embedding API" in:name,description,readme fork:false archived:false

github · term 11 AI "AI SDK" in:name,description,readme fork:false archived:false

github · term 12 AI "Model Context Protocol" in:name,description,readme fork:false archived:false

github · term 13 AI "MCP server" in:name,description,readme fork:false archived:false

github · term 14 AI "MCP client" in:name,description,readme fork:false archived:false

github · term 15 AI "tool calling" in:name,description,readme fork:false archived:false

github · term 16 AI "function calling" in:name,description,readme fork:false archived:false

github · term 17 AI "external tools" in:name,description,readme fork:false archived:false

github · term 18 AI "external data sources" in:name,description,readme fork:false archived:false

Profile 21f7edfa647612ee

Alignment descriptor draft

Outcomes

Can integrate AI services into an application through APIs and SDKs.
Can give a model tools, functions or external data and handle its responses.
Can design the architecture of an AI-enabled application.

Develops it

Hands-on material on building software with AI components — API calls, function calling, retrieval, architecture — where the learner builds an application.

Only mentions it

An API key setup step, or an SDK listed among dependencies.

Alignment terms

api integrationai sdkfunction callingtool callingopenai apiazure openaimodel context protocol

Read in a resource's text beside the domain group. They are never compiled into a search.

Neighbours

D27 Working with AI Agents: D27 configures and supervises agents; T08 integrates AI into software.
T13 AI Systems Deployment: T13 deploys and monitors in production; T08 builds the integration.
D26 AI-Assisted Coding: D26 uses AI to write code; T08 builds AI into software.

Descriptor 101dfc23ba49

T09 Deep Tech · Skill · Intermediate

Data Engineering for AI

Build data pipelines for AI training and deployment

Alignment

7 resources likely to contribute to it or develop it

0 decided at level 2 or 3 · 7 not decided yet, more likely than not

On a graded sample, 4 pairs were graded 2 or 3 for it, and the map counts 3.

Retrieval

0 resources harvested by searching its terms

Never searched yet.

Search vocabulary

Domain group

data engineeringdata pipelineETL pipelinefeature pipelinetraining data pipelinedata orchestrationdata warehousedata lakehousedata ingestiondocument ingestiondocument parsingtext extractionmetadata extractiondata embeddingembedding pipelinevector indexingvector database

Zenodo and arXiv take the whole group in one query. GitHub takes one phrase at a time and works left to right, stopping once the competency is satisfied — so on that lane this order decides which terms actually run.

The compiled queries

zenodo

("artificial intelligence" OR "machine learning" OR "generative AI" OR "deep learning" OR "reinforcement learning" OR "large language model" OR "AI") AND ("data engineering" OR "data pipeline" OR "ETL pipeline" OR "feature pipeline" OR "training data pipeline" OR "data orchestration" OR "data warehouse" OR "data lakehouse" OR "data ingestion" OR "document ingestion" OR "document parsing" OR "text extraction" OR "metadata extraction" OR "data embedding" OR "embedding pipeline" OR "vector indexing" OR "vector database")

arxiv

(all:"artificial intelligence" OR all:"machine learning" OR all:"generative AI" OR all:"deep learning" OR all:"reinforcement learning" OR all:"large language model") AND (all:"data engineering" OR all:"data pipeline" OR all:"ETL pipeline" OR all:"feature pipeline" OR all:"training data pipeline" OR all:"data orchestration" OR all:"data warehouse" OR all:"data lakehouse" OR all:"data ingestion" OR all:"document ingestion" OR all:"document parsing" OR all:"text extraction" OR all:"metadata extraction" OR all:"data embedding" OR all:"embedding pipeline" OR all:"vector indexing" OR all:"vector database")

github · term 1 AI "data engineering" in:name,description,readme fork:false archived:false

github · term 2 AI "data pipeline" in:name,description,readme fork:false archived:false

github · term 3 AI "ETL pipeline" in:name,description,readme fork:false archived:false

github · term 4 AI "feature pipeline" in:name,description,readme fork:false archived:false

github · term 5 AI "training data pipeline" in:name,description,readme fork:false archived:false

github · term 6 AI "data orchestration" in:name,description,readme fork:false archived:false

github · term 7 AI "data warehouse" in:name,description,readme fork:false archived:false

github · term 8 AI "data lakehouse" in:name,description,readme fork:false archived:false

github · term 9 AI "data ingestion" in:name,description,readme fork:false archived:false

github · term 10 AI "document ingestion" in:name,description,readme fork:false archived:false

github · term 11 AI "document parsing" in:name,description,readme fork:false archived:false

github · term 12 AI "text extraction" in:name,description,readme fork:false archived:false

github · term 13 AI "metadata extraction" in:name,description,readme fork:false archived:false

github · term 14 AI "data embedding" in:name,description,readme fork:false archived:false

github · term 15 AI "embedding pipeline" in:name,description,readme fork:false archived:false

github · term 16 AI "vector indexing" in:name,description,readme fork:false archived:false

github · term 17 AI "vector database" in:name,description,readme fork:false archived:false

Profile 948a8063b4232295

Alignment descriptor draft

Outcomes

Can build a data pipeline that ingests, cleans and transforms data for AI.
Can prepare documents for retrieval: parsing, chunking, embedding, indexing.
Can orchestrate and monitor a pipeline.

Develops it

Hands-on material on data engineering for AI — ETL, ingestion, chunking and embedding pipelines, vector indexes — where the learner builds a pipeline.

Only mentions it

A dataset loaded from a CSV file with no pipeline around it.

Alignment terms

data pipelineetldata ingestionchunkingdocument parsingvector indexembeddingsdata orchestration

Read in a resource's text beside the domain group. They are never compiled into a search.

Neighbours

D03 Data Literacy for AI: D03 judges data quality; T09 builds the pipelines.
T12 Generative AI Architecture: T12 explains RAG architecture; T09 builds the data side of it.
T14 MLOps & Lifecycle Management: T14 manages the ML lifecycle; T09 the data pipelines.

Descriptor c248b5f81ad1

T10 Deep Tech · Skill · Intermediate

AI Model Evaluation

Apply evaluation metrics and validation techniques

Alignment

2 resources likely to contribute to it or develop it

0 decided at level 2 or 3 · 2 not decided yet, more likely than not

On a graded sample, 3 pairs were graded 2 or 3 for it, and the map counts 1.

Retrieval

0 resources harvested by searching its terms

Never searched yet.

Search vocabulary

Domain group

model evaluationvalidation metricscross-validationprecision and recallROC AUCtest datasetmodel validationperformance metricRAG evaluationretrieval evaluationLLM evaluationRAG triadgroundednesscontext relevanceanswer relevancefaithfulness metricTruLensDeepEval

Zenodo and arXiv take the whole group in one query. GitHub takes one phrase at a time and works left to right, stopping once the competency is satisfied — so on that lane this order decides which terms actually run.

The compiled queries

zenodo

("artificial intelligence" OR "machine learning" OR "generative AI" OR "deep learning" OR "reinforcement learning" OR "large language model" OR "AI") AND ("model evaluation" OR "validation metrics" OR "cross-validation" OR "precision and recall" OR "ROC AUC" OR "test dataset" OR "model validation" OR "performance metric" OR "RAG evaluation" OR "retrieval evaluation" OR "LLM evaluation" OR "RAG triad" OR "groundedness" OR "context relevance" OR "answer relevance" OR "faithfulness metric" OR "TruLens" OR "DeepEval")

arxiv

(all:"artificial intelligence" OR all:"machine learning" OR all:"generative AI" OR all:"deep learning" OR all:"reinforcement learning" OR all:"large language model") AND (all:"model evaluation" OR all:"validation metrics" OR all:"cross-validation" OR all:"precision and recall" OR all:"ROC AUC" OR all:"test dataset" OR all:"model validation" OR all:"performance metric" OR all:"RAG evaluation" OR all:"retrieval evaluation" OR all:"LLM evaluation" OR all:"RAG triad" OR all:"groundedness" OR all:"context relevance" OR all:"answer relevance" OR all:"faithfulness metric" OR all:"TruLens" OR all:"DeepEval")

github · term 1 AI "model evaluation" in:name,description,readme fork:false archived:false

github · term 2 AI "validation metrics" in:name,description,readme fork:false archived:false

github · term 3 AI "cross-validation" in:name,description,readme fork:false archived:false

github · term 4 AI "precision and recall" in:name,description,readme fork:false archived:false

github · term 5 AI "ROC AUC" in:name,description,readme fork:false archived:false

github · term 6 AI "test dataset" in:name,description,readme fork:false archived:false

github · term 7 AI "model validation" in:name,description,readme fork:false archived:false

github · term 8 AI "performance metric" in:name,description,readme fork:false archived:false

github · term 9 AI "RAG evaluation" in:name,description,readme fork:false archived:false

github · term 10 AI "retrieval evaluation" in:name,description,readme fork:false archived:false

github · term 11 AI "LLM evaluation" in:name,description,readme fork:false archived:false

github · term 12 AI "RAG triad" in:name,description,readme fork:false archived:false

github · term 13 AI "groundedness" in:name,description,readme fork:false archived:false

github · term 14 AI "context relevance" in:name,description,readme fork:false archived:false

github · term 15 AI "answer relevance" in:name,description,readme fork:false archived:false

github · term 16 AI "faithfulness metric" in:name,description,readme fork:false archived:false

github · term 17 AI "TruLens" in:name,description,readme fork:false archived:false

github · term 18 AI "DeepEval" in:name,description,readme fork:false archived:false

Profile cc99b415b9c463c3

Alignment descriptor draft

Outcomes

Can choose and compute evaluation metrics suited to a task.
Can validate a model properly: held-out data, cross-validation, error analysis.
Can evaluate LLM and retrieval systems with appropriate metrics.

Develops it

Material that teaches model evaluation — metrics, validation, error analysis, LLM evaluation — with practice computing and interpreting them.

Only mentions it

An accuracy figure printed at the end of a notebook without discussion.

Alignment terms

confusion matrixaccuracy scoreprecision and recallf1 scoreroc curvecross-validationevaluation metricsllm evaluation

Read in a resource's text beside the domain group. They are never compiled into a search.

Neighbours

T20 AI Benchmarking: T20 benchmarks against standards; T10 evaluates a model.
D05 AI Output Evaluation: D05 is a user's critical reading of outputs; T10 formal evaluation.
T21 Bias Detection & Mitigation: T21 measures fairness; T10 performance.

Descriptor f04f5d7b3ceb

T11 Deep Tech · Skill · Advanced

Transfer Learning & Fine-tuning

Adapt pre-trained models to domain tasks

Alignment

8 resources likely to contribute to it or develop it

2 decided at level 2 or 3 (2 develop it) · 6 not decided yet, more likely than not

What the map misses here is not measured: the graded sample holds no pair graded 2 or 3 for it.

Retrieval

0 resources harvested by searching its terms

Never searched yet.

Search vocabulary

Domain group

transfer learningfine-tuningfinetuningpre-trained modelpretrained modeldomain adaptationparameter-efficient fine-tuningadapter tuninginstruction tuningcontinued pretrainingLoRAPEFTsupervised fine-tuningSFTRLHFDPOORPO

Zenodo and arXiv take the whole group in one query. GitHub takes one phrase at a time and works left to right, stopping once the competency is satisfied — so on that lane this order decides which terms actually run.

The compiled queries

zenodo

("artificial intelligence" OR "machine learning" OR "generative AI" OR "deep learning" OR "reinforcement learning" OR "large language model" OR "AI") AND ("transfer learning" OR "fine-tuning" OR "finetuning" OR "pre-trained model" OR "pretrained model" OR "domain adaptation" OR "parameter-efficient fine-tuning" OR "adapter tuning" OR "instruction tuning" OR "continued pretraining" OR "LoRA" OR "PEFT" OR "supervised fine-tuning" OR "SFT" OR "RLHF" OR "DPO" OR "ORPO")

arxiv

(all:"artificial intelligence" OR all:"machine learning" OR all:"generative AI" OR all:"deep learning" OR all:"reinforcement learning" OR all:"large language model") AND (all:"transfer learning" OR all:"fine-tuning" OR all:"finetuning" OR all:"pre-trained model" OR all:"pretrained model" OR all:"domain adaptation" OR all:"parameter-efficient fine-tuning" OR all:"adapter tuning" OR all:"instruction tuning" OR all:"continued pretraining" OR all:"LoRA" OR all:"PEFT" OR all:"supervised fine-tuning" OR all:"SFT" OR all:"RLHF" OR all:"DPO" OR all:"ORPO")

github · term 1 AI "transfer learning" in:name,description,readme fork:false archived:false

github · term 2 AI "fine-tuning" in:name,description,readme fork:false archived:false

github · term 3 AI "finetuning" in:name,description,readme fork:false archived:false

github · term 4 AI "pre-trained model" in:name,description,readme fork:false archived:false

github · term 5 AI "pretrained model" in:name,description,readme fork:false archived:false

github · term 6 AI "domain adaptation" in:name,description,readme fork:false archived:false

github · term 7 AI "parameter-efficient fine-tuning" in:name,description,readme fork:false archived:false

github · term 8 AI "adapter tuning" in:name,description,readme fork:false archived:false

github · term 9 AI "instruction tuning" in:name,description,readme fork:false archived:false

github · term 10 AI "continued pretraining" in:name,description,readme fork:false archived:false

github · term 11 AI "LoRA" in:name,description,readme fork:false archived:false

github · term 12 AI "PEFT" in:name,description,readme fork:false archived:false

github · term 13 AI "supervised fine-tuning" in:name,description,readme fork:false archived:false

github · term 14 AI "SFT" in:name,description,readme fork:false archived:false

github · term 15 AI "RLHF" in:name,description,readme fork:false archived:false

github · term 16 AI "DPO" in:name,description,readme fork:false archived:false

github · term 17 AI "ORPO" in:name,description,readme fork:false archived:false

Profile 082aa8f29fe06c3f

Alignment descriptor draft

Outcomes

Can adapt a pre-trained model to a domain task by fine-tuning or adapters.
Can prepare data and choose a method such as full fine-tuning, LoRA or instruction tuning.
Can evaluate whether fine-tuning improved the model.

Develops it

Hands-on material on transfer learning and fine-tuning, where the learner fine-tunes a model and evaluates it.

Only mentions it

A pre-trained model used as is, or 'fine-tuned' in a model's name.

Alignment terms

fine-tuningtransfer learninglorapeftinstruction tuningdomain adaptation

Read in a resource's text beside the domain group. They are never compiled into a search.

False friends

fine tune your prompt

A term found beside one of these is read as another sense of the words, not as this competency.

Neighbours

T03 NLP Engineering: T03 builds language applications; T11 adapts pre-trained models of any kind.
T02 Deep Learning Frameworks: T02 builds and trains models; T11 adapts existing ones.
G08 Model Compression & Optimization: G08 compresses models; T11 adapts them to tasks.

Descriptor 75af1d0a2d97

T12 Deep Tech · Knowledge · Advanced

Generative AI Architecture

Understand transformers, diffusion models, generative approaches

Alignment

25 resources likely to contribute to it or develop it

2 decided at level 2 or 3 (2 develop it) · 23 not decided yet, more likely than not

On a graded sample, 8 pairs were graded 2 or 3 for it, and the map counts 4.

Retrieval

0 resources harvested by searching its terms

Never searched yet.

Search vocabulary

Domain group

generative AI architecturedeep generative methodsgenerative methodstransformer architecturediffusion modelgenerative adversarial networkvariational autoencoderfoundation model architectureattention mechanismretrieval augmented generationRAG architecturehybrid RAGmultimodal RAGembedding retrievalvector storevector databasequery transformationhypothetical document embeddingHyDEcontext augmented generationGraphRAGRAPTORsentence window RAGself-query RAG

Zenodo and arXiv take the whole group in one query. GitHub takes one phrase at a time and works left to right, stopping once the competency is satisfied — so on that lane this order decides which terms actually run.

The compiled queries

zenodo

("artificial intelligence" OR "machine learning" OR "generative AI" OR "deep learning" OR "reinforcement learning" OR "large language model" OR "AI") AND ("generative AI architecture" OR "deep generative methods" OR "generative methods" OR "transformer architecture" OR "diffusion model" OR "generative adversarial network" OR "variational autoencoder" OR "foundation model architecture" OR "attention mechanism" OR "retrieval augmented generation" OR "RAG architecture" OR "hybrid RAG" OR "multimodal RAG" OR "embedding retrieval" OR "vector store" OR "vector database" OR "query transformation" OR "hypothetical document embedding" OR "HyDE" OR "context augmented generation" OR "GraphRAG" OR "RAPTOR" OR "sentence window RAG" OR "self-query RAG")

arxiv

(all:"artificial intelligence" OR all:"machine learning" OR all:"generative AI" OR all:"deep learning" OR all:"reinforcement learning" OR all:"large language model") AND (all:"generative AI architecture" OR all:"deep generative methods" OR all:"generative methods" OR all:"transformer architecture" OR all:"diffusion model" OR all:"generative adversarial network" OR all:"variational autoencoder" OR all:"foundation model architecture" OR all:"attention mechanism" OR all:"retrieval augmented generation" OR all:"RAG architecture" OR all:"hybrid RAG" OR all:"multimodal RAG" OR all:"embedding retrieval" OR all:"vector store" OR all:"vector database" OR all:"query transformation" OR all:"hypothetical document embedding" OR all:"HyDE" OR all:"context augmented generation" OR all:"GraphRAG" OR all:"RAPTOR" OR all:"sentence window RAG" OR all:"self-query RAG")

github · term 1 AI "generative AI architecture" in:name,description,readme fork:false archived:false

github · term 2 AI "deep generative methods" in:name,description,readme fork:false archived:false

github · term 3 AI "generative methods" in:name,description,readme fork:false archived:false

github · term 4 AI "transformer architecture" in:name,description,readme fork:false archived:false

github · term 5 AI "diffusion model" in:name,description,readme fork:false archived:false

github · term 6 AI "generative adversarial network" in:name,description,readme fork:false archived:false

github · term 7 AI "variational autoencoder" in:name,description,readme fork:false archived:false

github · term 8 AI "foundation model architecture" in:name,description,readme fork:false archived:false

github · term 9 AI "attention mechanism" in:name,description,readme fork:false archived:false

github · term 10 AI "retrieval augmented generation" in:name,description,readme fork:false archived:false

github · term 11 AI "RAG architecture" in:name,description,readme fork:false archived:false

github · term 12 AI "hybrid RAG" in:name,description,readme fork:false archived:false

github · term 13 AI "multimodal RAG" in:name,description,readme fork:false archived:false

github · term 14 AI "embedding retrieval" in:name,description,readme fork:false archived:false

github · term 15 AI "vector store" in:name,description,readme fork:false archived:false

github · term 16 AI "vector database" in:name,description,readme fork:false archived:false

github · term 17 AI "query transformation" in:name,description,readme fork:false archived:false

github · term 18 AI "hypothetical document embedding" in:name,description,readme fork:false archived:false

github · term 19 AI "HyDE" in:name,description,readme fork:false archived:false

github · term 20 AI "context augmented generation" in:name,description,readme fork:false archived:false

github · term 21 AI "GraphRAG" in:name,description,readme fork:false archived:false

github · term 22 AI "RAPTOR" in:name,description,readme fork:false archived:false

github · term 23 AI "sentence window RAG" in:name,description,readme fork:false archived:false

github · term 24 AI "self-query RAG" in:name,description,readme fork:false archived:false

Profile 7bb49a1ae8d8dd29

Alignment descriptor draft

Outcomes

Can explain transformers, attention, diffusion models and other generative approaches.
Can explain retrieval-augmented generation and its components.
Can compare generative architectures and their trade-offs.

Develops it

Material that explains how generative models are built — attention, transformers, diffusion, GANs, RAG architecture — with diagrams and code.

Only mentions it

A generative model used through an API, with no explanation of how it works.

Alignment terms

transformerattention mechanismself-attentiondiffusion modelganvariational autoencoderretrieval-augmented generationrag

Read in a resource's text beside the domain group. They are never compiled into a search.

Neighbours

D08 Generative AI Literacy: D08 is what generative models can do; T12 how they are built.
T01 Neural Network Architecture: T01 is neural networks in general; T12 generative architectures.
T09 Data Engineering for AI: T09 builds the data pipeline for RAG; T12 explains the architecture.

Descriptor f90b348135d5

T13 Deep Tech · Skill · Advanced

AI Systems Deployment

Deploy AI in production with monitoring and maintenance

Alignment

2 resources likely to contribute to it or develop it

0 decided at level 2 or 3 · 2 not decided yet, more likely than not

What the map misses here is not measured: the graded sample holds no pair graded 2 or 3 for it.

Retrieval

0 resources harvested by searching its terms

Never searched yet.

Search vocabulary

Domain group

AI deploymentmodel servingproduction machine learningdeployment monitoringmodel maintenanceinference serviceproduction AI systemdeployment pipelineLLM deploymentGPU inferenceinference endpointmodel endpointserverless GPU

Zenodo and arXiv take the whole group in one query. GitHub takes one phrase at a time and works left to right, stopping once the competency is satisfied — so on that lane this order decides which terms actually run.

The compiled queries

zenodo

("artificial intelligence" OR "machine learning" OR "generative AI" OR "deep learning" OR "reinforcement learning" OR "large language model" OR "AI") AND ("AI deployment" OR "model serving" OR "production machine learning" OR "deployment monitoring" OR "model maintenance" OR "inference service" OR "production AI system" OR "deployment pipeline" OR "LLM deployment" OR "GPU inference" OR "inference endpoint" OR "model endpoint" OR "serverless GPU")

arxiv

(all:"artificial intelligence" OR all:"machine learning" OR all:"generative AI" OR all:"deep learning" OR all:"reinforcement learning" OR all:"large language model") AND (all:"AI deployment" OR all:"model serving" OR all:"production machine learning" OR all:"deployment monitoring" OR all:"model maintenance" OR all:"inference service" OR all:"production AI system" OR all:"deployment pipeline" OR all:"LLM deployment" OR all:"GPU inference" OR all:"inference endpoint" OR all:"model endpoint" OR all:"serverless GPU")

github · term 1 AI "AI deployment" in:name,description,readme fork:false archived:false

github · term 2 AI "model serving" in:name,description,readme fork:false archived:false

github · term 3 AI "production machine learning" in:name,description,readme fork:false archived:false

github · term 4 AI "deployment monitoring" in:name,description,readme fork:false archived:false

github · term 5 AI "model maintenance" in:name,description,readme fork:false archived:false

github · term 6 AI "inference service" in:name,description,readme fork:false archived:false

github · term 7 AI "production AI system" in:name,description,readme fork:false archived:false

github · term 8 AI "deployment pipeline" in:name,description,readme fork:false archived:false

github · term 9 AI "LLM deployment" in:name,description,readme fork:false archived:false

github · term 10 AI "GPU inference" in:name,description,readme fork:false archived:false

github · term 11 AI "inference endpoint" in:name,description,readme fork:false archived:false

github · term 12 AI "model endpoint" in:name,description,readme fork:false archived:false

github · term 13 AI "serverless GPU" in:name,description,readme fork:false archived:false

Profile 51162275fc4428fb

Alignment descriptor draft

Outcomes

Can deploy a model as a service and make it available to applications.
Can monitor a deployed model's performance and behaviour.
Can maintain, update and roll back a production model.

Develops it

Hands-on material on deploying AI to production — serving, endpoints, containers, monitoring — where the learner deploys a model.

Only mentions it

A note that the model 'can be deployed', or deployment of a web app without a model.

Alignment terms

model deploymentmodel servinginference endpointdeploy the modelmodel monitoringproduction deployment

Read in a resource's text beside the domain group. They are never compiled into a search.

Neighbours

T14 MLOps & Lifecycle Management: T14 applies DevOps to the ML lifecycle; T13 deploys and monitors.
G22 Low-Carbon AI Deployment: G22 deploys with minimal emissions; T13 deploys in general.
T26 End-to-End AI Project Lifecycle: T26 runs a whole project; T13 deployment.

Descriptor d028a8a6decc

T14 Deep Tech · Skill · Advanced

MLOps & Lifecycle Management

Apply DevOps principles to ML lifecycle

Alignment

1 resource likely to contribute to it or develop it

0 decided at level 2 or 3 · 1 not decided yet, more likely than not

What the map misses here is not measured: the graded sample holds no pair graded 2 or 3 for it.

Retrieval

0 resources harvested by searching its terms

Never searched yet.

Search vocabulary

Domain group

MLOpsmachine learning lifecyclemodel registrycontinuous trainingML pipelinemodel versioningML monitoringDevOps for machine learning

Zenodo and arXiv take the whole group in one query. GitHub takes one phrase at a time and works left to right, stopping once the competency is satisfied — so on that lane this order decides which terms actually run.

The compiled queries

zenodo

("artificial intelligence" OR "machine learning" OR "generative AI" OR "deep learning" OR "reinforcement learning" OR "large language model" OR "AI") AND ("MLOps" OR "machine learning lifecycle" OR "model registry" OR "continuous training" OR "ML pipeline" OR "model versioning" OR "ML monitoring" OR "DevOps for machine learning")

arxiv

(all:"artificial intelligence" OR all:"machine learning" OR all:"generative AI" OR all:"deep learning" OR all:"reinforcement learning" OR all:"large language model") AND (all:"MLOps" OR all:"machine learning lifecycle" OR all:"model registry" OR all:"continuous training" OR all:"ML pipeline" OR all:"model versioning" OR all:"ML monitoring" OR all:"DevOps for machine learning")

github · term 1 AI "MLOps" in:name,description,readme fork:false archived:false

github · term 2 AI "machine learning lifecycle" in:name,description,readme fork:false archived:false

github · term 3 AI "model registry" in:name,description,readme fork:false archived:false

github · term 4 AI "continuous training" in:name,description,readme fork:false archived:false

github · term 5 AI "ML pipeline" in:name,description,readme fork:false archived:false

github · term 6 AI "model versioning" in:name,description,readme fork:false archived:false

github · term 7 AI "ML monitoring" in:name,description,readme fork:false archived:false

github · term 8 AI "DevOps for machine learning" in:name,description,readme fork:false archived:false

Profile a129f609ea1a4992

Alignment descriptor draft

Outcomes

Can apply DevOps practices to machine learning: versioning, CI/CD, registries.
Can automate training and deployment pipelines.
Can track experiments and models across their lifecycle.

Develops it

Hands-on material on MLOps — pipelines, model registries, experiment tracking, continuous training — where the learner sets them up.

Only mentions it

A model saved to disk with no lifecycle management.

Alignment terms

mlopsmodel registrymlflowexperiment trackingml pipelinecontinuous trainingmodel versioning

Read in a resource's text beside the domain group. They are never compiled into a search.

Neighbours

T13 AI Systems Deployment: T13 deploys and monitors; T14 manages the lifecycle.
T09 Data Engineering for AI: T09 builds data pipelines; T14 ML pipelines and their lifecycle.
T26 End-to-End AI Project Lifecycle: T26 runs a project end to end; T14 the operations practice.

Descriptor 9709c10e4f7d

T15 Deep Tech · Skill · Advanced

Digital Twin Engineering

Design digital twins using AI for educational purposes

Alignment

2 resources likely to contribute to it or develop it

0 decided at level 2 or 3 · 2 not decided yet, more likely than not

What the map misses here is not measured: the graded sample holds no pair graded 2 or 3 for it.

Retrieval

0 resources harvested by searching its terms

Never searched yet.

Search vocabulary

Domain group

digital twindigital twin engineeringvirtual replicasimulation modelcyber-physical twineducational digital twindigital twin architecture

Zenodo and arXiv take the whole group in one query. GitHub takes one phrase at a time and works left to right, stopping once the competency is satisfied — so on that lane this order decides which terms actually run.

The compiled queries

zenodo

("artificial intelligence" OR "machine learning" OR "generative AI" OR "deep learning" OR "reinforcement learning" OR "large language model" OR "AI") AND ("digital twin" OR "digital twin engineering" OR "virtual replica" OR "simulation model" OR "cyber-physical twin" OR "educational digital twin" OR "digital twin architecture")

arxiv

(all:"artificial intelligence" OR all:"machine learning" OR all:"generative AI" OR all:"deep learning" OR all:"reinforcement learning" OR all:"large language model") AND (all:"digital twin" OR all:"digital twin engineering" OR all:"virtual replica" OR all:"simulation model" OR all:"cyber-physical twin" OR all:"educational digital twin" OR all:"digital twin architecture")

github · term 1 AI "digital twin" in:name,description,readme fork:false archived:false

github · term 2 AI "digital twin engineering" in:name,description,readme fork:false archived:false

github · term 3 AI "virtual replica" in:name,description,readme fork:false archived:false

github · term 4 AI "simulation model" in:name,description,readme fork:false archived:false

github · term 5 AI "cyber-physical twin" in:name,description,readme fork:false archived:false

github · term 6 AI "educational digital twin" in:name,description,readme fork:false archived:false

github · term 7 AI "digital twin architecture" in:name,description,readme fork:false archived:false

Profile 8ef0dd3781c7fc79

Alignment descriptor draft

Outcomes

Can design a digital twin that mirrors a physical system with data.
Can use AI within a digital twin for prediction or simulation.
Can apply digital twins for educational purposes.

Develops it

Material on designing digital twins with AI — architecture, data, simulation — with a twin the learner builds or designs.

Only mentions it

'Digital twin' used as a buzzword in a product overview.

Alignment terms

digital twindigital twinscyber-physicalvirtual replicasimulation model

Read in a resource's text beside the domain group. They are never compiled into a search.

Neighbours

T07 Model-Driven Engineering for AI: T07 is model-driven engineering; T15 digital twins.
T24 Domain-Specific AI Applications: T24 builds sector applications; T15 digital twins specifically.

Descriptor 3ba091b5a30f

T16 Deep Tech · Skill · Intermediate

AI Programming Proficiency

Write Python code with AI/ML libraries

Alignment

3 resources likely to contribute to it or develop it

0 decided at level 2 or 3 · 3 not decided yet, more likely than not

On a graded sample, 1 pair was graded 2 or 3 for it, and the map counts 0.

Retrieval

0 resources harvested by searching its terms

Never searched yet.

Search vocabulary

Domain group

AI programmingPython machine learningscikit-learnNumPypandasmachine learning libraryAI codingPython AI development

Zenodo and arXiv take the whole group in one query. GitHub takes one phrase at a time and works left to right, stopping once the competency is satisfied — so on that lane this order decides which terms actually run.

The compiled queries

zenodo

("artificial intelligence" OR "machine learning" OR "generative AI" OR "deep learning" OR "reinforcement learning" OR "large language model" OR "AI") AND ("AI programming" OR "Python machine learning" OR "scikit-learn" OR "NumPy" OR "pandas" OR "machine learning library" OR "AI coding" OR "Python AI development")

arxiv

(all:"artificial intelligence" OR all:"machine learning" OR all:"generative AI" OR all:"deep learning" OR all:"reinforcement learning" OR all:"large language model") AND (all:"AI programming" OR all:"Python machine learning" OR all:"scikit-learn" OR all:"NumPy" OR all:"pandas" OR all:"machine learning library" OR all:"AI coding" OR all:"Python AI development")

github · term 1 AI "AI programming" in:name,description,readme fork:false archived:false

github · term 2 AI "Python machine learning" in:name,description,readme fork:false archived:false

github · term 3 AI "scikit-learn" in:name,description,readme fork:false archived:false

github · term 4 AI "NumPy" in:name,description,readme fork:false archived:false

github · term 5 AI "pandas" in:name,description,readme fork:false archived:false

github · term 6 AI "machine learning library" in:name,description,readme fork:false archived:false

github · term 7 AI "AI coding" in:name,description,readme fork:false archived:false

github · term 8 AI "Python AI development" in:name,description,readme fork:false archived:false

Profile c57bbb8914dc7a32

Alignment descriptor draft

Outcomes

Can write Python code that loads, explores and transforms data with NumPy and pandas.
Can build and evaluate models with scikit-learn or similar libraries.
Can structure, debug and document an AI program.

Develops it

Hands-on material that teaches programming AI in Python — data handling, libraries, modelling code — where the learner writes code.

Only mentions it

Installation instructions for Python packages, or a list of libraries a project depends on.

Alignment terms

numpypandasscikit-learnsklearnmatplotlibdataframepython for machine learning

Read in a resource's text beside the domain group. They are never compiled into a search.

False friends

pip installconda installrequirements txt

A term found beside one of these is read as another sense of the words, not as this competency.

Neighbours

T02 Deep Learning Frameworks: T02 is deep learning frameworks; T16 Python with machine learning libraries.
D26 AI-Assisted Coding: D26 uses AI to write code; T16 is writing AI code.
T09 Data Engineering for AI: T09 builds data pipelines; T16 general AI programming.

Descriptor 1e69e4144f21

T17 Deep Tech · Knowledge · Foundation

Statistical Foundations for AI

Apply probability, inference, Bayesian reasoning to AI

Alignment

3 resources likely to contribute to it or develop it

0 decided at level 2 or 3 · 3 not decided yet, more likely than not

On a graded sample, 1 pair was graded 2 or 3 for it, and the map counts 1.

Retrieval

0 resources harvested by searching its terms

Never searched yet.

Search vocabulary

Domain group

statistical foundationsprobability theorystatistical inferenceBayesian reasoningprobability distributionhypothesis testingstatistical learninguncertainty quantification

Zenodo and arXiv take the whole group in one query. GitHub takes one phrase at a time and works left to right, stopping once the competency is satisfied — so on that lane this order decides which terms actually run.

The compiled queries

zenodo

("artificial intelligence" OR "machine learning" OR "generative AI" OR "deep learning" OR "reinforcement learning" OR "large language model" OR "AI") AND ("statistical foundations" OR "probability theory" OR "statistical inference" OR "Bayesian reasoning" OR "probability distribution" OR "hypothesis testing" OR "statistical learning" OR "uncertainty quantification")

arxiv

(all:"artificial intelligence" OR all:"machine learning" OR all:"generative AI" OR all:"deep learning" OR all:"reinforcement learning" OR all:"large language model") AND (all:"statistical foundations" OR all:"probability theory" OR all:"statistical inference" OR all:"Bayesian reasoning" OR all:"probability distribution" OR all:"hypothesis testing" OR all:"statistical learning" OR all:"uncertainty quantification")

github · term 1 AI "statistical foundations" in:name,description,readme fork:false archived:false

github · term 2 AI "probability theory" in:name,description,readme fork:false archived:false

github · term 3 AI "statistical inference" in:name,description,readme fork:false archived:false

github · term 4 AI "Bayesian reasoning" in:name,description,readme fork:false archived:false

github · term 5 AI "probability distribution" in:name,description,readme fork:false archived:false

github · term 6 AI "hypothesis testing" in:name,description,readme fork:false archived:false

github · term 7 AI "statistical learning" in:name,description,readme fork:false archived:false

github · term 8 AI "uncertainty quantification" in:name,description,readme fork:false archived:false

Profile c89264545abc144c

Alignment descriptor draft

Outcomes

Can apply probability, distributions and statistical inference to AI problems.
Can reason with Bayes' theorem and quantify uncertainty.
Can test hypotheses and interpret the results.

Develops it

Material that teaches the statistics behind AI — probability, inference, Bayesian reasoning — with exercises.

Only mentions it

A mean or a standard deviation printed while exploring data.

Alignment terms

probability theorybayes theoremprobability distributionhypothesis testingconfidence intervalstatistical inferencebayesian

Read in a resource's text beside the domain group. They are never compiled into a search.

Neighbours

D02 Machine Learning Fundamentals: D02 is machine learning paradigms; T17 their statistical foundations.
T10 AI Model Evaluation: T10 evaluates models; T17 is the statistics underneath.
T23 AI Research Methodology: T23 designs research; T17 provides the statistics.

Descriptor ecdf90357bdc

T18 Deep Tech · Skill · Advanced

Explainable AI (XAI)

Implement techniques making AI decisions interpretable

Alignment

5 resources likely to contribute to it or develop it

0 decided at level 2 or 3 · 5 not decided yet, more likely than not

On a graded sample, 1 pair was graded 2 or 3 for it, and the map counts 1.

Retrieval

0 resources harvested by searching its terms

Never searched yet.

Search vocabulary

Domain group

explainable AIXAImodel interpretabilitySHAPLIMEfeature attributioncounterfactual explanationinterpretable machine learning

Zenodo and arXiv take the whole group in one query. GitHub takes one phrase at a time and works left to right, stopping once the competency is satisfied — so on that lane this order decides which terms actually run.

The compiled queries

zenodo

("artificial intelligence" OR "machine learning" OR "generative AI" OR "deep learning" OR "reinforcement learning" OR "large language model" OR "AI") AND ("explainable AI" OR "XAI" OR "model interpretability" OR "SHAP" OR "LIME" OR "feature attribution" OR "counterfactual explanation" OR "interpretable machine learning")

arxiv

(all:"artificial intelligence" OR all:"machine learning" OR all:"generative AI" OR all:"deep learning" OR all:"reinforcement learning" OR all:"large language model") AND (all:"explainable AI" OR all:"XAI" OR all:"model interpretability" OR all:"SHAP" OR all:"LIME" OR all:"feature attribution" OR all:"counterfactual explanation" OR all:"interpretable machine learning")

github · term 1 AI "explainable AI" in:name,description,readme fork:false archived:false

github · term 2 AI "XAI" in:name,description,readme fork:false archived:false

github · term 3 AI "model interpretability" in:name,description,readme fork:false archived:false

github · term 4 AI "SHAP" in:name,description,readme fork:false archived:false

github · term 5 AI "LIME" in:name,description,readme fork:false archived:false

github · term 6 AI "feature attribution" in:name,description,readme fork:false archived:false

github · term 7 AI "counterfactual explanation" in:name,description,readme fork:false archived:false

github · term 8 AI "interpretable machine learning" in:name,description,readme fork:false archived:false

Profile 8b95a744335d1a21

Alignment descriptor draft

Outcomes

Can apply explanation techniques such as SHAP, LIME or feature attribution to a model.
Can interpret explanations and their limits.
Can choose an explanation method for a model and audience.

Develops it

Hands-on material on explainable AI, where the learner applies explanation techniques to a model and interprets the results.

Only mentions it

A feature importance chart shown without explanation.

Alignment terms

shaplimefeature importanceexplainable aiinterpretabilitysaliency mapcounterfactual explanations

Read in a resource's text beside the domain group. They are never compiled into a search.

Neighbours

D12 AI System Transparency: D12 evaluates transparency; T18 implements explanations.
T21 Bias Detection & Mitigation: T21 detects bias; T18 explains decisions.
T22 Responsible AI Development: T22 is responsible development as a whole; T18 explainability techniques.

Descriptor aaebc96c4ba0

T19 Deep Tech · Skill · Advanced

Edge AI & IoT Integration

Deploy AI on edge devices and IoT ecosystems

Alignment

2 resources likely to contribute to it or develop it

0 decided at level 2 or 3 · 2 not decided yet, more likely than not

On a graded sample, 1 pair was graded 2 or 3 for it, and the map counts 0.

Retrieval

0 resources harvested by searching its terms

Never searched yet.

Search vocabulary

Domain group

edge AIedge computingTinyMLinternet of thingsIoT integrationon-device inferenceembedded machine learningedge device

Zenodo and arXiv take the whole group in one query. GitHub takes one phrase at a time and works left to right, stopping once the competency is satisfied — so on that lane this order decides which terms actually run.

The compiled queries

zenodo

("artificial intelligence" OR "machine learning" OR "generative AI" OR "deep learning" OR "reinforcement learning" OR "large language model" OR "AI") AND ("edge AI" OR "edge computing" OR "TinyML" OR "internet of things" OR "IoT integration" OR "on-device inference" OR "embedded machine learning" OR "edge device")

arxiv

(all:"artificial intelligence" OR all:"machine learning" OR all:"generative AI" OR all:"deep learning" OR all:"reinforcement learning" OR all:"large language model") AND (all:"edge AI" OR all:"edge computing" OR all:"TinyML" OR all:"internet of things" OR all:"IoT integration" OR all:"on-device inference" OR all:"embedded machine learning" OR all:"edge device")

github · term 1 AI "edge AI" in:name,description,readme fork:false archived:false

github · term 2 AI "edge computing" in:name,description,readme fork:false archived:false

github · term 3 AI "TinyML" in:name,description,readme fork:false archived:false

github · term 4 AI "internet of things" in:name,description,readme fork:false archived:false

github · term 5 AI "IoT integration" in:name,description,readme fork:false archived:false

github · term 6 AI "on-device inference" in:name,description,readme fork:false archived:false

github · term 7 AI "embedded machine learning" in:name,description,readme fork:false archived:false

github · term 8 AI "edge device" in:name,description,readme fork:false archived:false

Profile f3c2b1a271ad7ddf

Alignment descriptor draft

Outcomes

Can deploy a model on an edge or IoT device within its constraints.
Can optimise a model for on-device inference.
Can integrate a model with sensors and devices.

Develops it

Hands-on material on edge AI and IoT — on-device inference, TinyML, sensor integration — where the learner deploys to a device.

Only mentions it

A device named as a possible target in passing.

Alignment terms

edge aitinymlraspberry pimicrocontrollerioton-devicetensorflow liteedge device

Read in a resource's text beside the domain group. They are never compiled into a search.

False friends

microsoft edgeedge case

A term found beside one of these is read as another sense of the words, not as this competency.

Neighbours

T13 AI Systems Deployment: T13 deploys to servers and the cloud; T19 to devices.
G08 Model Compression & Optimization: G08 compresses models; T19 deploys them to devices.
T04 Computer Vision Development: T04 builds vision systems; T19 runs models on devices.

Descriptor 5e9a607b95ea

T20 Deep Tech · Skill · Intermediate

AI Benchmarking

Compare AI solutions against established standards

Alignment

0 resources likely to contribute to it or develop it

None found yet in what the alignment has read.

What the map misses here is not measured: the graded sample holds no pair graded 2 or 3 for it.

Retrieval

0 resources harvested by searching its terms

Never searched yet.

Search vocabulary

Domain group

AI benchmarkingmodel benchmarkbenchmark datasetperformance comparisonstandardized evaluationstandardised evaluationleaderboardbaseline comparison

Zenodo and arXiv take the whole group in one query. GitHub takes one phrase at a time and works left to right, stopping once the competency is satisfied — so on that lane this order decides which terms actually run.

The compiled queries

zenodo

("artificial intelligence" OR "machine learning" OR "generative AI" OR "deep learning" OR "reinforcement learning" OR "large language model" OR "AI") AND ("AI benchmarking" OR "model benchmark" OR "benchmark dataset" OR "performance comparison" OR "standardized evaluation" OR "standardised evaluation" OR "leaderboard" OR "baseline comparison")

arxiv

(all:"artificial intelligence" OR all:"machine learning" OR all:"generative AI" OR all:"deep learning" OR all:"reinforcement learning" OR all:"large language model") AND (all:"AI benchmarking" OR all:"model benchmark" OR all:"benchmark dataset" OR all:"performance comparison" OR all:"standardized evaluation" OR all:"standardised evaluation" OR all:"leaderboard" OR all:"baseline comparison")

github · term 1 AI "AI benchmarking" in:name,description,readme fork:false archived:false

github · term 2 AI "model benchmark" in:name,description,readme fork:false archived:false

github · term 3 AI "benchmark dataset" in:name,description,readme fork:false archived:false

github · term 4 AI "performance comparison" in:name,description,readme fork:false archived:false

github · term 5 AI "standardized evaluation" in:name,description,readme fork:false archived:false

github · term 6 AI "standardised evaluation" in:name,description,readme fork:false archived:false

github · term 7 AI "leaderboard" in:name,description,readme fork:false archived:false

github · term 8 AI "baseline comparison" in:name,description,readme fork:false archived:false

Profile 992e2f4efbd083ff

Alignment descriptor draft

Outcomes

Can benchmark AI solutions on standard datasets and metrics.
Can set baselines and compare fairly.
Can read and question published benchmark results.

Develops it

Material on AI benchmarking — standard benchmarks, baselines, fair comparison — with comparisons the learner runs.

Only mentions it

A leaderboard position quoted in a model's description.

Alignment terms

benchmarkingbenchmark datasetleaderboardbaseline modelmmlu

Read in a resource's text beside the domain group. They are never compiled into a search.

Neighbours

T10 AI Model Evaluation: T10 evaluates one model; T20 compares against standards.
T23 AI Research Methodology: T23 designs research; T20 benchmarks.

Descriptor 693cefeefd2a

T21 Deep Tech · Skill · Intermediate

Bias Detection & Mitigation

Identify and address bias in data and model outputs

Alignment

1 resource likely to contribute to it or develop it

0 decided at level 2 or 3 · 1 not decided yet, more likely than not

On a graded sample, 4 pairs were graded 2 or 3 for it, and the map counts 0.

Retrieval

0 resources harvested by searching its terms

Never searched yet.

Search vocabulary

Domain group

bias detectionbias mitigationalgorithmic biasdataset biasfairness metricdebiasingdisparate impactmodel fairness

Zenodo and arXiv take the whole group in one query. GitHub takes one phrase at a time and works left to right, stopping once the competency is satisfied — so on that lane this order decides which terms actually run.

The compiled queries

zenodo

("artificial intelligence" OR "machine learning" OR "generative AI" OR "deep learning" OR "reinforcement learning" OR "large language model" OR "AI") AND ("bias detection" OR "bias mitigation" OR "algorithmic bias" OR "dataset bias" OR "fairness metric" OR "debiasing" OR "disparate impact" OR "model fairness")

arxiv

(all:"artificial intelligence" OR all:"machine learning" OR all:"generative AI" OR all:"deep learning" OR all:"reinforcement learning" OR all:"large language model") AND (all:"bias detection" OR all:"bias mitigation" OR all:"algorithmic bias" OR all:"dataset bias" OR all:"fairness metric" OR all:"debiasing" OR all:"disparate impact" OR all:"model fairness")

github · term 1 AI "bias detection" in:name,description,readme fork:false archived:false

github · term 2 AI "bias mitigation" in:name,description,readme fork:false archived:false

github · term 3 AI "algorithmic bias" in:name,description,readme fork:false archived:false

github · term 4 AI "dataset bias" in:name,description,readme fork:false archived:false

github · term 5 AI "fairness metric" in:name,description,readme fork:false archived:false

github · term 6 AI "debiasing" in:name,description,readme fork:false archived:false

github · term 7 AI "disparate impact" in:name,description,readme fork:false archived:false

github · term 8 AI "model fairness" in:name,description,readme fork:false archived:false

Profile e461f35991a4cbb7

Alignment descriptor draft

Outcomes

Can detect bias in data and model outputs with fairness metrics.
Can apply mitigation techniques before, during or after training.
Can explain the trade-offs between fairness definitions.

Develops it

Hands-on material on bias detection and mitigation, where the learner measures bias in a dataset or model and reduces it.

Only mentions it

A warning that models 'may be biased'.

Alignment terms

fairnessbias mitigationfairness metricsdemographic parityequalized oddsfairlearnaif360algorithmic bias

Read in a resource's text beside the domain group. They are never compiled into a search.

False friends

bias termbias and variance

A term found beside one of these is read as another sense of the words, not as this competency.

Neighbours

D03 Data Literacy for AI: D03 checks data quality; T21 detects and mitigates bias.
T22 Responsible AI Development: T22 is responsible development as a whole; T21 bias.
D05 AI Output Evaluation: D05 spots bias in outputs as a user; T21 measures and mitigates it.

Descriptor 3f40220eb1d5

T22 Deep Tech · Skill · Foundation

Responsible AI Development

Apply fairness, accountability, transparency in AI dev

Alignment

14 resources likely to contribute to it or develop it

0 decided at level 2 or 3 · 14 not decided yet, more likely than not

On a graded sample, 9 pairs were graded 2 or 3 for it, and the map counts 7.

Retrieval

0 resources harvested by searching its terms

Never searched yet.

Search vocabulary

Domain group

responsible AI developmentfairness accountability transparencytrustworthy AI developmentethical AI developmentresponsible machine learningalgorithmic accountabilityresponsible by designresponsible design

Zenodo and arXiv take the whole group in one query. GitHub takes one phrase at a time and works left to right, stopping once the competency is satisfied — so on that lane this order decides which terms actually run.

The compiled queries

zenodo

("artificial intelligence" OR "machine learning" OR "generative AI" OR "deep learning" OR "reinforcement learning" OR "large language model" OR "AI") AND ("responsible AI development" OR "fairness accountability transparency" OR "trustworthy AI development" OR "ethical AI development" OR "responsible machine learning" OR "algorithmic accountability" OR "responsible by design" OR "responsible design")

arxiv

(all:"artificial intelligence" OR all:"machine learning" OR all:"generative AI" OR all:"deep learning" OR all:"reinforcement learning" OR all:"large language model") AND (all:"responsible AI development" OR all:"fairness accountability transparency" OR all:"trustworthy AI development" OR all:"ethical AI development" OR all:"responsible machine learning" OR all:"algorithmic accountability" OR all:"responsible by design" OR all:"responsible design")

github · term 1 AI "responsible AI development" in:name,description,readme fork:false archived:false

github · term 2 AI "fairness accountability transparency" in:name,description,readme fork:false archived:false

github · term 3 AI "trustworthy AI development" in:name,description,readme fork:false archived:false

github · term 4 AI "ethical AI development" in:name,description,readme fork:false archived:false

github · term 5 AI "responsible machine learning" in:name,description,readme fork:false archived:false

github · term 6 AI "algorithmic accountability" in:name,description,readme fork:false archived:false

github · term 7 AI "responsible by design" in:name,description,readme fork:false archived:false

github · term 8 AI "responsible design" in:name,description,readme fork:false archived:false

Profile 713566c75972ebdf

Alignment descriptor draft

Outcomes

Can apply fairness, accountability and transparency practices while developing AI.
Can document a model and its limitations responsibly.
Can build review and governance steps into a development process.

Develops it

Material on responsible AI development — principles turned into practices, documentation, reviews — with practice on a project.

Only mentions it

A link to a company's responsible AI principles.

Alignment terms

responsible airesponsible ai principlesmodel cardaccountabilitytrustworthy aiai governance

Read in a resource's text beside the domain group. They are never compiled into a search.

Neighbours

D22 Responsible AI Use Mindset: D22 is responsible use; T22 responsible development.
T21 Bias Detection & Mitigation: T21 is bias; T22 responsibility as a whole.
T18 Explainable AI (XAI): T18 is explainability techniques; T22 the wider practice.

Descriptor 70a4d9be011a

T23 Deep Tech · Skill · Advanced

AI Research Methodology

Conduct systematic research on AI topics

Alignment

0 resources likely to contribute to it or develop it

None found yet in what the alignment has read.

What the map misses here is not measured: the graded sample holds no pair graded 2 or 3 for it.

Retrieval

0 resources harvested by searching its terms

Never searched yet.

Search vocabulary

Domain group

AI research methodologysystematic literature reviewmachine learning experimentresearch designreproducible AI researchempirical AI studyexperimental methodology

Zenodo and arXiv take the whole group in one query. GitHub takes one phrase at a time and works left to right, stopping once the competency is satisfied — so on that lane this order decides which terms actually run.

The compiled queries

zenodo

("artificial intelligence" OR "machine learning" OR "generative AI" OR "deep learning" OR "reinforcement learning" OR "large language model" OR "AI") AND ("AI research methodology" OR "systematic literature review" OR "machine learning experiment" OR "research design" OR "reproducible AI research" OR "empirical AI study" OR "experimental methodology")

arxiv

(all:"artificial intelligence" OR all:"machine learning" OR all:"generative AI" OR all:"deep learning" OR all:"reinforcement learning" OR all:"large language model") AND (all:"AI research methodology" OR all:"systematic literature review" OR all:"machine learning experiment" OR all:"research design" OR all:"reproducible AI research" OR all:"empirical AI study" OR all:"experimental methodology")

github · term 1 AI "AI research methodology" in:name,description,readme fork:false archived:false

github · term 2 AI "systematic literature review" in:name,description,readme fork:false archived:false

github · term 3 AI "machine learning experiment" in:name,description,readme fork:false archived:false

github · term 4 AI "research design" in:name,description,readme fork:false archived:false

github · term 5 AI "reproducible AI research" in:name,description,readme fork:false archived:false

github · term 6 AI "empirical AI study" in:name,description,readme fork:false archived:false

github · term 7 AI "experimental methodology" in:name,description,readme fork:false archived:false

Profile b06382cf818b36ee

Alignment descriptor draft

Outcomes

Can design and conduct a systematic study of an AI topic.
Can run reproducible experiments and report them.
Can review the literature systematically.

Develops it

Material on AI research methodology — research questions, experimental design, reproducibility, literature reviews — with practice.

Only mentions it

A research paper, which applies a methodology without teaching it.

Alignment terms

research methodologysystematic reviewexperimental designreproducible researchablation studyresearch question

Read in a resource's text beside the domain group. They are never compiled into a search.

Neighbours

T20 AI Benchmarking: T20 benchmarks; T23 designs research.
T17 Statistical Foundations for AI: T17 provides the statistics; T23 the method.

Descriptor 8d6b130e00ff

T24 Deep Tech · Skill · Advanced

Domain-Specific AI Applications

Develop AI solutions tailored to specific sectors

Alignment

0 resources likely to contribute to it or develop it

None found yet in what the alignment has read.

On a graded sample, 10 pairs were graded 2 or 3 for it, and the map counts 0. The figure above is a blind spot of the alignment: the library holds more for it than the map shows.

Retrieval

0 resources harvested by searching its terms

Never searched yet.

Search vocabulary

Domain group

domain-specific AIsector-specific AIindustry-specific AIindustry AI applicationvertical AIapplication-specific modelsector-tailored AI solutionAI solution design

Zenodo and arXiv take the whole group in one query. GitHub takes one phrase at a time and works left to right, stopping once the competency is satisfied — so on that lane this order decides which terms actually run.

The compiled queries

zenodo

("artificial intelligence" OR "machine learning" OR "generative AI" OR "deep learning" OR "reinforcement learning" OR "large language model" OR "AI") AND ("domain-specific AI" OR "sector-specific AI" OR "industry-specific AI" OR "industry AI application" OR "vertical AI" OR "application-specific model" OR "sector-tailored AI solution" OR "AI solution design")

arxiv

(all:"artificial intelligence" OR all:"machine learning" OR all:"generative AI" OR all:"deep learning" OR all:"reinforcement learning" OR all:"large language model") AND (all:"domain-specific AI" OR all:"sector-specific AI" OR all:"industry-specific AI" OR all:"industry AI application" OR all:"vertical AI" OR all:"application-specific model" OR all:"sector-tailored AI solution" OR all:"AI solution design")

github · term 1 AI "domain-specific AI" in:name,description,readme fork:false archived:false

github · term 2 AI "sector-specific AI" in:name,description,readme fork:false archived:false

github · term 3 AI "industry-specific AI" in:name,description,readme fork:false archived:false

github · term 4 AI "industry AI application" in:name,description,readme fork:false archived:false

github · term 5 AI "vertical AI" in:name,description,readme fork:false archived:false

github · term 6 AI "application-specific model" in:name,description,readme fork:false archived:false

github · term 7 AI "sector-tailored AI solution" in:name,description,readme fork:false archived:false

github · term 8 AI "AI solution design" in:name,description,readme fork:false archived:false

Profile 12e80f2ccf268ab3

Alignment descriptor draft

Outcomes

Can develop an AI solution tailored to a sector's data, constraints and users.
Can adapt general techniques to domain requirements.
Can evaluate a solution against the domain's needs.

Develops it

Hands-on material building AI for a specific sector — health, finance, agriculture, manufacturing — where domain constraints shape the solution.

Only mentions it

A sector named as an example application.

Alignment terms

healthcare aiai in financeai in agricultureindustry use casesector-specific

Read in a resource's text beside the domain group. They are never compiled into a search.

Neighbours

T26 End-to-End AI Project Lifecycle: T26 runs an AI project lifecycle; T24 tailors a solution to a sector.
T15 Digital Twin Engineering: T15 is digital twins; T24 sector solutions in general.

Descriptor 5602d728e2d6

T25 Deep Tech · Skill · Advanced

Advanced AI Problem Formulation

Formalize complex problems into AI-solvable models

Alignment

1 resource likely to contribute to it or develop it

0 decided at level 2 or 3 · 1 not decided yet, more likely than not

On a graded sample, 1 pair was graded 2 or 3 for it, and the map counts 1.

Retrieval

0 resources harvested by searching its terms

Never searched yet.

Search vocabulary

Domain group

AI problem formulationproblem formalizationproblem formalisationobjective functionconstraint modellingAI-solvable problemtask formulationoptimization problem

Zenodo and arXiv take the whole group in one query. GitHub takes one phrase at a time and works left to right, stopping once the competency is satisfied — so on that lane this order decides which terms actually run.

The compiled queries

zenodo

("artificial intelligence" OR "machine learning" OR "generative AI" OR "deep learning" OR "reinforcement learning" OR "large language model" OR "AI") AND ("AI problem formulation" OR "problem formalization" OR "problem formalisation" OR "objective function" OR "constraint modelling" OR "AI-solvable problem" OR "task formulation" OR "optimization problem")

arxiv

(all:"artificial intelligence" OR all:"machine learning" OR all:"generative AI" OR all:"deep learning" OR all:"reinforcement learning" OR all:"large language model") AND (all:"AI problem formulation" OR all:"problem formalization" OR all:"problem formalisation" OR all:"objective function" OR all:"constraint modelling" OR all:"AI-solvable problem" OR all:"task formulation" OR all:"optimization problem")

github · term 1 AI "AI problem formulation" in:name,description,readme fork:false archived:false

github · term 2 AI "problem formalization" in:name,description,readme fork:false archived:false

github · term 3 AI "problem formalisation" in:name,description,readme fork:false archived:false

github · term 4 AI "objective function" in:name,description,readme fork:false archived:false

github · term 5 AI "constraint modelling" in:name,description,readme fork:false archived:false

github · term 6 AI "AI-solvable problem" in:name,description,readme fork:false archived:false

github · term 7 AI "task formulation" in:name,description,readme fork:false archived:false

github · term 8 AI "optimization problem" in:name,description,readme fork:false archived:false

Profile 10f7e695f4abb031

Alignment descriptor draft

Outcomes

Can formalise a complex problem as an AI task: inputs, outputs, objective, constraints.
Can choose between formulations such as classification, optimisation or search.
Can judge whether a problem is suitable for AI at all.

Develops it

Material on problem formulation for AI — objectives, constraints, task framing — with problems the learner formalises.

Only mentions it

A task stated as given at the start of a tutorial.

Alignment terms

problem formulationobjective functionoptimization problemoptimisation problemproblem framing

Read in a resource's text beside the domain group. They are never compiled into a search.

Neighbours

D06 Algorithmic Thinking: D06 is algorithmic thinking in general; T25 formalising problems for AI.
T06 AI Algorithm Design: T06 designs algorithms; T25 formulates the problem.
T26 End-to-End AI Project Lifecycle: T26 frames a problem as the first step of a project; T25 formalises it.

Descriptor 1591b832e1c6

T26 Deep Tech · Skill · Advanced

End-to-End AI Project Lifecycle

Plan and execute an AI project from problem framing through data acquisition, model development, deployment and post-deployment monitoring

Alignment

0 resources likely to contribute to it or develop it

None found yet in what the alignment has read.

On a graded sample, 1 pair was graded 2 or 3 for it, and the map counts 0.

Retrieval

0 resources harvested by searching its terms

Never searched yet.

Search vocabulary

Domain group

end-to-end AI lifecycleAI project lifecycleproblem framingdata acquisitionmodel developmentpost-deployment monitoringAI project planningmachine learning project

Zenodo and arXiv take the whole group in one query. GitHub takes one phrase at a time and works left to right, stopping once the competency is satisfied — so on that lane this order decides which terms actually run.

The compiled queries

zenodo

("artificial intelligence" OR "machine learning" OR "generative AI" OR "deep learning" OR "reinforcement learning" OR "large language model" OR "AI") AND ("end-to-end AI lifecycle" OR "AI project lifecycle" OR "problem framing" OR "data acquisition" OR "model development" OR "post-deployment monitoring" OR "AI project planning" OR "machine learning project")

arxiv

(all:"artificial intelligence" OR all:"machine learning" OR all:"generative AI" OR all:"deep learning" OR all:"reinforcement learning" OR all:"large language model") AND (all:"end-to-end AI lifecycle" OR all:"AI project lifecycle" OR all:"problem framing" OR all:"data acquisition" OR all:"model development" OR all:"post-deployment monitoring" OR all:"AI project planning" OR all:"machine learning project")

github · term 1 AI "end-to-end AI lifecycle" in:name,description,readme fork:false archived:false

github · term 2 AI "AI project lifecycle" in:name,description,readme fork:false archived:false

github · term 3 AI "problem framing" in:name,description,readme fork:false archived:false

github · term 4 AI "data acquisition" in:name,description,readme fork:false archived:false

github · term 5 AI "model development" in:name,description,readme fork:false archived:false

github · term 6 AI "post-deployment monitoring" in:name,description,readme fork:false archived:false

github · term 7 AI "AI project planning" in:name,description,readme fork:false archived:false

github · term 8 AI "machine learning project" in:name,description,readme fork:false archived:false

Profile b6bc6f2da0b5d784

Alignment descriptor draft

Outcomes

Can plan an AI project from problem framing to post-deployment monitoring.
Can carry out each stage: data acquisition, modelling, deployment, monitoring.
Can manage the project's risks and iterations.

Develops it

Material that walks through a complete AI project, end to end, where the learner carries out or plans every stage.

Only mentions it

A project lifecycle diagram in an introduction.

Alignment terms

end-to-end ai projectproject lifecyclecrisp-dmmachine learning projectcapstone project

Read in a resource's text beside the domain group. They are never compiled into a search.

Neighbours

T13 AI Systems Deployment: T13 is deployment; T26 the whole project.
T14 MLOps & Lifecycle Management: T14 is the operations practice; T26 the project.
T24 Domain-Specific AI Applications: T24 tailors a solution to a sector; T26 runs the lifecycle.

Descriptor eecf71fa5bc2

What the alignment foundHow often each was searched

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