{
  "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-cn-genai.json",
  "source": "https://aigovernanceengineer.com/obligations/aige-obl-cn-genai",
  "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-CN-GENAI",
    "url": "https://aigovernanceengineer.com/obligations/aige-obl-cn-genai",
    "json": "https://aigovernanceengineer.com/api/v1/obligations/aige-obl-cn-genai.json",
    "framework": "China",
    "frameworkId": "cn-genai-measures",
    "clause": "CAC Order No. 15",
    "obligation": "Interim Measures for Generative AI Services (in force 2023-08-15)",
    "requirement": "Lawful-source training data and foundation models; content labelling under the deep-synthesis rules; security assessment and algorithm filing for opinion-shaping services; stop, remove, retrain and report on illegal content",
    "artefact": "Data-lineage and licensing record; eval gate on generated content; incident pipeline with a retraining loop; filing record",
    "layers": [
      2,
      3,
      4,
      5
    ],
    "dutyHolder": null,
    "scope": null,
    "authority": null,
    "appliesFrom": "2023-08-15",
    "appliesStatus": "in-force",
    "appliesNote": "Binding; in force 2023-08-15; applies to services offered to the public within the PRC",
    "milestones": [],
    "systemClass": [],
    "patterns": [],
    "crosswalkTopics": [
      "risk-management",
      "governance-accountability",
      "impact-assessment",
      "data-governance",
      "documentation-transparency",
      "inventory-registration",
      "human-oversight",
      "runtime-guardrails",
      "robustness-security-evals",
      "incident-monitoring",
      "supply-chain",
      "prohibited-practices",
      "fairness-non-discrimination",
      "privacy-data-protection",
      "ai-literacy",
      "conformity-assessment",
      "gpai-foundation-models",
      "ip-copyright",
      "content-provenance"
    ],
    "reviewed": "2026-09-20",
    "chapter": "https://aigovernanceengineer.com/bok/regulatory-map#china"
  }
}