About
The AI Regulation Reference is a structured, version-controlled reference tracking AI regulation obligations across jurisdictions. It tracks 12 regulations, 10 obligations, 20 provisions, 8 authorities, and 2 standards.
Obligation-First Ontology
Obligations are the stable anchors: transparency, human oversight, risk assessment. These don't change when a regulation is amended. Provisions are the implementations — different jurisdictions require the same obligations differently.
Authority → Regulation → Provision → Obligation
Data Model
- Obligation — Vendor/jurisdiction-neutral compliance requirement
- Provision — Specific regulation article implementing obligation(s)
- Regulation — Regulatory instrument (law, rule, guidance)
- Authority — Regulatory body
- Standard — Voluntary/harmonized standard
- Evidence — Source citations for verification
Verification
Regulatory data is verified using a multi-model AI consensus cascade: three independent AI models must agree before changes are flagged for human review. All provisions have a 30-day staleness threshold.
JSON API
Programmatic access is available via the static JSON API:
- api/v1/index.json — API manifest
- api/v1/obligations.json — All obligations
- api/v1/regulations.json — All regulations
- api/v1/provisions.json �� All provisions
- api/v1/obligation-matrix.json — Coverage grid
Contributing
See the GitHub repository for contribution guidelines. Data corrections and new regulation additions are welcome via pull request.
Disclaimer
This is a reference tool, not legal advice. Always consult the actual regulatory text and qualified legal counsel for compliance decisions.