{
  "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/",
  "schemaVersion": 2,
  "schema": "https://aigovernanceengineer.com/api/v1/schemas/obligation.json",
  "self": "https://aigovernanceengineer.com/api/v1/obligations/aige-obl-usfed-omb-m25-21.json",
  "source": "https://aigovernanceengineer.com/obligations/aige-obl-usfed-omb-m25-21",
  "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"
  },
  "obligation": {
    "id": "AIGE-OBL-USFED-OMB-M25-21",
    "url": "https://aigovernanceengineer.com/obligations/aige-obl-usfed-omb-m25-21",
    "json": "https://aigovernanceengineer.com/api/v1/obligations/aige-obl-usfed-omb-m25-21.json",
    "framework": "US federal law",
    "frameworkId": "us-omb-m-25-21",
    "clause": "M-25-21 §4(b)",
    "obligation": "OMB M-25-21 minimum practices for high-impact AI",
    "requirement": "Federal agencies apply minimum practices to high-impact AI: pre-deployment testing, an AI impact assessment, ongoing monitoring, operator training, human oversight with a fail-safe where practicable, remedies or appeals, and consultation of end users, documented within 365 days",
    "artefact": "Use-case inventory entry; pre-deployment test report; AI impact assessment; monitoring plan; appeal path",
    "layers": [
      2,
      3,
      4,
      5
    ],
    "dutyHolder": null,
    "scope": "US federal agencies (their AI vendors by contract)",
    "authority": "OMB; agency Chief AI Officers",
    "appliesFrom": "2025-04-03",
    "appliesStatus": "in-force",
    "appliesNote": "Issued 2025-04-03; practices documented within 365 days",
    "milestones": [],
    "systemClass": [],
    "patterns": [],
    "crosswalkTopics": [],
    "reviewed": "2026-09-24",
    "chapter": "https://aigovernanceengineer.com/bok/regulatory-map#federal-law-that-already-reaches-ai"
  }
}