{ "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": 1, "schema": "https://aigovernanceengineer.com/api/v1/schemas/index.json", "self": "https://aigovernanceengineer.com/api/v1/index.json", "source": "https://aigovernanceengineer.com/resources/data", "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" }, "api": { "version": "v1", "openapi": "https://aigovernanceengineer.com/api/v1/openapi.json", "documentation": "https://aigovernanceengineer.com/resources/data", "itemTemplates": { "obligation": "https://aigovernanceengineer.com/api/v1/obligations/{id}.json", "control": "https://aigovernanceengineer.com/api/v1/controls/{id}.json" } }, "datasets": [ { "name": "obligations", "title": "Obligation register", "description": "Every obligation → artefact → stack-layer row of the regulatory map, with stable ids, ISO application dates, status, system classes, patterns and review dates.", "schemaVersion": 2, "url": "https://aigovernanceengineer.com/api/v1/obligations.json", "schema": "https://aigovernanceengineer.com/api/v1/schemas/obligations.json", "page": "https://aigovernanceengineer.com/obligations" }, { "name": "frameworks", "title": "Frameworks", "description": "The laws, standards, codes and control sets the regulatory map covers, with the ids of their obligation rows.", "schemaVersion": 1, "url": "https://aigovernanceengineer.com/api/v1/frameworks.json", "schema": "https://aigovernanceengineer.com/api/v1/schemas/frameworks.json", "page": "https://aigovernanceengineer.com/resources/frameworks" }, { "name": "crosswalk", "title": "Topic crosswalk", "description": "Twelve governance topics against the clauses of the EU AI Act, ISO/IEC 42001, the NIST AI RMF and the Chinese instruments, joined to the obligation register.", "schemaVersion": 1, "url": "https://aigovernanceengineer.com/api/v1/crosswalk.json", "schema": "https://aigovernanceengineer.com/api/v1/schemas/crosswalk.json", "page": "https://aigovernanceengineer.com/resources/crosswalk" }, { "name": "glossary", "title": "Glossary", "description": "The canonical terms of the discipline, parsed from chapter 09, with their chapter references.", "schemaVersion": 1, "url": "https://aigovernanceengineer.com/api/v1/glossary.json", "schema": "https://aigovernanceengineer.com/api/v1/schemas/glossary.json", "page": "https://aigovernanceengineer.com/bok/glossary" }, { "name": "patterns", "title": "Pattern catalogue index", "description": "The reusable patterns of chapter 05, with their home layer, the frameworks their \"Maps to\" line names and the obligation rows that list them.", "schemaVersion": 1, "url": "https://aigovernanceengineer.com/api/v1/patterns.json", "schema": "https://aigovernanceengineer.com/api/v1/schemas/patterns.json", "page": "https://aigovernanceengineer.com/patterns" }, { "name": "maturity", "title": "Maturity model", "description": "The five-level maturity model of chapter 07, Documented → Continuous, with its typical evidence.", "schemaVersion": 1, "url": "https://aigovernanceengineer.com/api/v1/maturity.json", "schema": "https://aigovernanceengineer.com/api/v1/schemas/maturity.json", "page": "https://aigovernanceengineer.com/bok/maturity-model" }, { "name": "path", "title": "Learning path", "description": "The four-stage learning path: nodes, prerequisites, internal links and external resources.", "schemaVersion": 1, "url": "https://aigovernanceengineer.com/api/v1/path.json", "schema": "https://aigovernanceengineer.com/api/v1/schemas/path.json", "page": "https://aigovernanceengineer.com/path" }, { "name": "chapters", "title": "Body of Knowledge chapters", "description": "The chapters of the Body of Knowledge in reading order, with their part, summary and takeaways.", "schemaVersion": 1, "url": "https://aigovernanceengineer.com/api/v1/chapters.json", "schema": "https://aigovernanceengineer.com/api/v1/schemas/chapters.json", "page": "https://aigovernanceengineer.com/bok" }, { "name": "jurisdictions", "title": "AI laws by jurisdiction", "description": "The AI-specific legal landscape by jurisdiction: how binding each regime is and the instruments behind it, each dated.", "schemaVersion": 1, "url": "https://aigovernanceengineer.com/api/v1/jurisdictions.json", "schema": "https://aigovernanceengineer.com/api/v1/schemas/jurisdictions.json", "page": "https://aigovernanceengineer.com/bok/ai-laws-worldwide" }, { "name": "harms", "title": "AI harms atlas", "description": "Harms by level with the failure mode, the controlling pattern, the evidence it leaves, the stack layers, the MIT AI Risk Repository taxonomy codes and real incidents.", "schemaVersion": 1, "url": "https://aigovernanceengineer.com/api/v1/harms.json", "schema": "https://aigovernanceengineer.com/api/v1/schemas/harms.json", "page": "https://aigovernanceengineer.com/resources/harms" }, { "name": "cases", "title": "Incident cases", "description": "Publicly documented AI incidents written as engineering post-mortems, with the control that would have caught them, the evidence it would have left and the obligations they touch; some carry an incident note (system boundary, control assumptions, controls by moment, evidence requirements, related open controls, open questions), null where not written.", "schemaVersion": 1, "url": "https://aigovernanceengineer.com/api/v1/cases.json", "schema": "https://aigovernanceengineer.com/api/v1/schemas/cases.json", "page": "https://aigovernanceengineer.com/cases" }, { "name": "contracts", "title": "Contract clauses and licence families", "description": "The AI vendor-contract clauses to check (what each governs, the red flag, a fallback and the evidence to keep) and the model-licence families.", "schemaVersion": 1, "url": "https://aigovernanceengineer.com/api/v1/contracts.json", "schema": "https://aigovernanceengineer.com/api/v1/schemas/contracts.json", "page": "https://aigovernanceengineer.com/resources/contracts" }, { "name": "roles", "title": "Value-chain roles", "description": "Operator roles across regimes (EU AI Act, Colorado, Texas, Korea, ISO/IEC 22989), with duties, the nearest EU AI Act role and the events that make an actor a provider.", "schemaVersion": 1, "url": "https://aigovernanceengineer.com/api/v1/roles.json", "schema": "https://aigovernanceengineer.com/api/v1/schemas/roles.json", "page": "https://aigovernanceengineer.com/bok/eu-ai-act" }, { "name": "threats", "title": "Threat bridge", "description": "External AI threat ids (OWASP LLM 2026, OWASP Agentic 2026, MITRE ATLAS, NIST AI 100-2) mapped to the controlling patterns, example evals, obligation ids, ISO/IEC 42001 Annex A, CSA AICM domains, NIST SP 800-218A tasks and COSAiS use cases.", "schemaVersion": 1, "url": "https://aigovernanceengineer.com/api/v1/threats.json", "schema": "https://aigovernanceengineer.com/api/v1/schemas/threats.json", "page": "https://aigovernanceengineer.com/resources/threats" }, { "name": "controls", "title": "Open control profiles", "description": "Open control profiles: draft control specifications for AI evaluation environments and agents at runtime, each reference control with its objective, failure modes, enforcement points, verification, evidence, mappings and sources. Illustrative, not a claim of conformity.", "schemaVersion": 1, "url": "https://aigovernanceengineer.com/api/v1/controls.json", "schema": "https://aigovernanceengineer.com/api/v1/schemas/controls.json", "page": "https://aigovernanceengineer.com/controls" } ], "schemas": [ { "name": "obligations", "url": "https://aigovernanceengineer.com/api/v1/schemas/obligations.json" }, { "name": "frameworks", "url": "https://aigovernanceengineer.com/api/v1/schemas/frameworks.json" }, { "name": "crosswalk", "url": "https://aigovernanceengineer.com/api/v1/schemas/crosswalk.json" }, { "name": "glossary", "url": "https://aigovernanceengineer.com/api/v1/schemas/glossary.json" }, { "name": "patterns", "url": "https://aigovernanceengineer.com/api/v1/schemas/patterns.json" }, { "name": "maturity", "url": "https://aigovernanceengineer.com/api/v1/schemas/maturity.json" }, { "name": "path", "url": "https://aigovernanceengineer.com/api/v1/schemas/path.json" }, { "name": "chapters", "url": "https://aigovernanceengineer.com/api/v1/schemas/chapters.json" }, { "name": "jurisdictions", "url": "https://aigovernanceengineer.com/api/v1/schemas/jurisdictions.json" }, { "name": "harms", "url": "https://aigovernanceengineer.com/api/v1/schemas/harms.json" }, { "name": "cases", "url": "https://aigovernanceengineer.com/api/v1/schemas/cases.json" }, { "name": "contracts", "url": "https://aigovernanceengineer.com/api/v1/schemas/contracts.json" }, { "name": "roles", "url": "https://aigovernanceengineer.com/api/v1/schemas/roles.json" }, { "name": "threats", "url": "https://aigovernanceengineer.com/api/v1/schemas/threats.json" }, { "name": "controls", "url": "https://aigovernanceengineer.com/api/v1/schemas/controls.json" }, { "name": "obligation", "url": "https://aigovernanceengineer.com/api/v1/schemas/obligation.json" }, { "name": "control", "url": "https://aigovernanceengineer.com/api/v1/schemas/control.json" }, { "name": "index", "url": "https://aigovernanceengineer.com/api/v1/schemas/index.json" } ] }