{
  "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-gdpr-art5-2.json",
  "source": "https://aigovernanceengineer.com/obligations/aige-obl-gdpr-art5-2",
  "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-GDPR-ART5-2",
    "url": "https://aigovernanceengineer.com/obligations/aige-obl-gdpr-art5-2",
    "json": "https://aigovernanceengineer.com/api/v1/obligations/aige-obl-gdpr-art5-2.json",
    "framework": "GDPR",
    "frameworkId": "gdpr",
    "clause": "Art. 5(2)",
    "obligation": "GDPR Art. 5(2) accountability for a model anonymity claim",
    "requirement": "A controller that claims a trained model holds no personal data must be able to demonstrate it; the EDPB sets an anonymity test and the evidence it expects",
    "artefact": "Anonymity evidence pack; membership-inference and extraction evals in the eval gate",
    "layers": [
      3,
      5
    ],
    "dutyHolder": null,
    "scope": "Controller (model developer)",
    "authority": "National data protection authority",
    "appliesFrom": "2018-05-25",
    "appliesStatus": "in-force",
    "appliesNote": "In force; applies from 2018-05-25",
    "milestones": [],
    "systemClass": [],
    "patterns": [],
    "crosswalkTopics": [],
    "reviewed": "2026-09-24",
    "chapter": "https://aigovernanceengineer.com/bok/regulatory-map#the-gdpr"
  }
}