This page is still being polished. If you have thoughts, please share them via the feedback form.
Data on this page is preliminary and may change. Please do not share or cite these figures publicly.
Internal governance structures, operational practices, and management decisions of entities that develop, deploy, or operate AI systems, where the entity has direct control over implementation.
Reasoning
Mitigation name too vague without description; "safety practices" spans multiple L1/L2 categories without distinguishing information.
Develop Safe AI
RSPs
3.3.3 Self-regulatory MechanismsRisk Management Standards
3.2.2 Technical StandardsInternal Incident / Behaviour Monitoring
2.3.3 Monitoring & LoggingSafety Cases
2.2.4 Assurance DocumentationDevelop Safe AI
99.9 OtherDevelop Safe AI > Develop means to create Safe AI
99.9 OtherEnsure Deployed AI = Safe AI
3.1.4 Compliance RequirementsEnsure Deployed AI = Safe AI > Regulatory Visibility
3.1.4 Compliance RequirementsEnsure Deployed AI = Safe AI > Controls
3.1.4 Compliance RequirementsEnsure Deployed AI = Safe AI > Incentives
3.1.5 Enforcement MechanismsCreating a Standard for TAI Governance
Glasser, Gwyn; Cuéllar, Mariano-Florentino; O'Reilly, Tim (2025)
In this report, we propose the implementation of national registries for frontier AI models as a foundational tool for AI governance. We explore the rationale, design, and implementation of such registries, drawing on comparisons with registries in analogous industries to make recommendations for a registry that's efficient, unintrusive, and which will bring AI governance closer to parity with the governmental insight into other high-impact industries. Our proposal is designed to provide governmental insight and enhance AI safety while fostering innovation and minimizing the regulatory burden on developers.
Other (outside lifecycle)
Outside the standard AI system lifecycle
Governance Actor
Regulator, standards body, or oversight entity shaping AI policy
Govern
Policies, processes, and accountability structures for AI risk management