OER·harvester

Competency catalogue

The 104 active T2.3 competencies: the vocabulary the harvester searches with, the descriptor the alignment reads, and what the alignment found. Compose a harvest →

What the alignment foundHow often each was searched

How many resources the alignment reads as contributing to each competency or developing it: decided at level 2 or 3, or not decided yet and more likely than not to reach 2. 54 competencies have none, 24 one or two. Every figure is a lower bound: on a sample graded on every competency, the map counts 33% of what was graded 2 or 3, and almost nothing of the 5 competencies underlined with dots.

How many times a harvest has searched for each competency, once for each source it asked. 101 competencies have never been searched. A search is not material found: the aligned view says what came of it.

none 1–2 3–9 10–29 30+
never 1–2 3–5 6–11 12+
DDigital 94212203420012149086012303134 GGreen 0000000102000010000100010 RResilience & Entrepreneurial 004000000000000010000120000 TDeep Tech 72643202372825212335201140010

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

Descriptor e0d94b6a91fe

How a vocabulary becomes a search

Every candidate must match both concept groups in its title, description or keywords before any content is downloaded. Precision warnings are recorded for audit; they never silently cancel positive evidence.

  1. Official name and description
  2. AI/ML terms and domain terms
  3. Zenodo, arXiv and GitHub syntax
  4. Metadata relevance gate
Mandatory AI/ML group
artificial intelligencemachine learninggenerative AIdeep learningreinforcement learninglarge language modelAI

GitHub's repository search takes one phrase at a time. Measured against the live endpoint, a parenthesised OR group returns nothing at all where each term alone returns thousands, and the 256-character limit rejects a long group outright — so that lane issues one query per term and stops as soon as the competency is satisfied.

coverage-vocabulary-1.3.0+sha256:08ad2cd19868 · catalogue sha256:04970bfc77255b1f

What a descriptor is

A descriptor is how the alignment reads a competency: what a learner who has it can do, what a resource has to do to develop it, what only mentions it, the phrases its subject is written in, its false friends, and how to tell it from the competencies that share its words. The definition above it stays the authority.

Every descriptor is a draft until a partner approves it; 0 of 104 are approved. Read the alignment rubric →

competency-descriptors-1.0.0+sha256:3cc741a61ced