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    "https://zenodo.org/records/20073075",
    "doi:10.5281/zenodo.20073075",
    "zenodo-record:20073075"
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  "dcterms:title": [
    "ETHICAL CONSIDERATIONS IN ARTIFICIAL INTELLIGENCE: CHALLENGES, RISKS, AND RESPONSIBLE DEVELOPMENT"
  ],
  "dcterms:type": [
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      "@id": "dcmitype:Text"
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    "Journal article"
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  "dcterms:creator": [
    "Mr. Dandu, Jayabharath Reddy",
    "Xojiyeva Muxlisa, Muxlisa",
    "Qilicheva, Umida",
    "O'razaliyev, Abror"
  ],
  "dcterms:description": [
    "Artificial Intelligence (AI) has rapidly transformed various sectors including healthcare, education, finance, transportation, and governance. While AI technologies provide significant benefits such as automation, improved decision-making, and enhanced efficiency, they also raise critical ethical concerns. This paper reviews major ethical issues in AI, including algorithmic bias, privacy violations, lack of transparency, accountability challenges, and societal impacts such as job displacement and misinformation. The study also examines responsible AI development, explainable AI, governance frameworks, and ethical auditing practices. Furthermore, recent developments in generative AI and regulatory approaches are discussed to highlight emerging ethical challenges. The paper emphasizes the importance of integrating fairness, accountability, transparency, and human-centered values into AI systems to ensure responsible and sustainable technological development."
  ],
  "dcterms:subject": [
    "Artificial Intelligence",
    "AI Ethics",
    "Responsible AI",
    "Algorithmic Bias",
    "Data Privacy",
    "Explainable AI",
    "Accountability"
  ],
  "dcterms:language": [
    "en"
  ],
  "dcterms:license": [
    {
      "@id": "https://creativecommons.org/licenses/by/4.0/"
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  "dcterms:rights": [
    "CC-BY-4.0 — assessed as OPEN by the harvester's licence gate. Conditions: attribution required. open, permissive"
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    "open"
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    "text/markdown"
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  "dcterms:issued": [
    "2026-05-07"
  ],
  "dcterms:modified": [
    "2026-05-07"
  ],
  "dcterms:created": [
    "2026-05-07"
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  "dcterms:bibliographicCitation": [
    "Journal of Multidisciplinary Sciences and Innovations, vol. 5(5), pp. 548-554"
  ],
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    {
      "@id": "https://doi.org/10.5281/zenodo.20073074"
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    "Retrieved from Zenodo on 2026-10-09 in response to the search string “(\"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\")”. Zenodo served the resource and is not asserted to be its publisher or author.",
    "Text extracted from pdf to Markdown by pdf-inspector; the original is retained unchanged beside it."
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}