{
  "notice": "Illustrative mapping from the AI Governance Engineer Body of Knowledge v0.5.0 (not a claim of conformity)",
  "version": "0.5.0",
  "license": "CC BY 4.0",
  "licenseUrl": "https://creativecommons.org/licenses/by/4.0/",
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  "self": "https://aigovernanceengineer.com/api/v1/obligations/aige-obl-usgao-gov.json",
  "source": "https://aigovernanceengineer.com/obligations/aige-obl-usgao-gov",
  "citation": {
    "title": "AI Governance Engineering: The Thesis & Body of Knowledge",
    "authors": [
      "Jorge García Aibar"
    ],
    "parentDoi": "https://doi.org/10.5281/zenodo.22956197",
    "conceptDoi": "https://doi.org/10.5281/zenodo.22857084"
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  "obligation": {
    "id": "AIGE-OBL-USGAO-GOV",
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    "json": "https://aigovernanceengineer.com/api/v1/obligations/aige-obl-usgao-gov.json",
    "framework": "US federal audit and oversight",
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    "clause": "principle 1 (governance), practices 1.1 to 1.9",
    "obligation": "GAO AI Accountability Framework principle 1: governance",
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    "artefact": "Registry entry with owner and intended purpose; RACI; risk register as code; compliance mapping; published system card",
    "layers": [
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      2,
      5
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    "dutyHolder": null,
    "scope": "Federal agencies and other entities; auditors and third-party assessors",
    "authority": "U.S. Government Accountability Office; inspectors general",
    "appliesFrom": "2021-06-30",
    "appliesStatus": "voluntary",
    "appliesNote": "Non-binding audit framework; published 2021-06-30",
    "milestones": [],
    "systemClass": [],
    "patterns": [],
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    "reviewed": "2026-09-27",
    "chapter": "https://aigovernanceengineer.com/bok/regulatory-map#federal-audit-and-oversight"
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}