Law / Frameworks / MIT mitigations / Transparency & Accountability Controls
MIT mitigations 4.4Governance Disclosure
Formal disclosure mechanisms that communicate governance structures, decision frameworks, and safety commitments to enhance transparency and enable external oversight of high-stakes AI decisions.MIT AI Risk Mitigation Taxonomy, preliminary taxonomy, July 2025, 4.4
We read each law below as bearing on this control. That does not mean the control, done well, meets the law: what each law asks is on its own page. Corpus as of .
The kinds of duty that reach it: licensing.
- 2
- laws
- 2
- places
- 0
- with court rulings behind them
- 1
- not yet in force
The same ground elsewhere linked through the kinds of duty both controls are mapped from
- NIST AI RMFGOVERN 1.1 Legal and regulatory requirements involving AI are understood, managed, and documented.
- NIST AI RMFGOVERN 1.6 Mechanisms are in place to inventory AI systems and are resourced according to...
- NIST AI 600-1GAI-RISK-10 Intellectual Property
- NIST Privacy FrameworkGV.PO-P5 Legal, regulatory, and contractual requirements regarding privacy are understood and managed.
- NIST CSF 2.0GV.OC-03 Legal, regulatory, and contractual requirements regarding cybersecurity - including...
A law in force is unmarked; the rest wear their state: not yet in force
AI governance
2 laws, 2 places| Place | Law | How it reaches this control |
|---|---|---|
 European Union |
AI Act, Article 26(8) (public-authority deployer registration) from , in 14 months |
Through its licensing duty. What it requires |
 Vanuatu |
Digital Transformation Act 2025, ICT service permit for AI and AI-related data services |
Through its licensing duty. What it requires |
Full text of the MIT AI Risk Mitigation Taxonomy, CC BY 4.0. MIT AI Risk Initiative (MIT FutureTech), AI Risk Mitigation Taxonomy, https://airisk.mit.edu/ai-risk-mitigations. Data from the MIT AI Risk Initiative is licensed under CC BY 4.0 (https://creativecommons.org/licenses/by/4.0/). Cite as: Mapping AI Risk Mitigations: Evidence Scan & Draft Mitigation Taxonomy, https://airisk.mit.edu/blog/mapping-ai-risk-mitigations Every control of the framework.