NNeha Khandelwal

Frameworks

AI Governance Frameworks

A working reference of the major frameworks, regulations, and standards shaping responsible AI. Edit the summaries in lib/frameworks.ts as your view of each evolves.

NIST AI Risk Management Framework

NIST · United States

Voluntary

Voluntary framework organised around Govern, Map, Measure, and Manage functions to help organisations manage risks of AI systems.

Official source →

EU AI Act

European Union · European Union

Regulation

First comprehensive AI law. Classifies systems by risk tier and imposes obligations on providers and deployers, with specific rules for general-purpose AI.

Official source →

ISO/IEC 42001

ISO/IEC · International

Standard

International management system standard for AI. Specifies requirements for establishing, implementing, maintaining, and continually improving an AI management system.

Official source →

OECD AI Principles

OECD · International

Principles

Principles promoting innovative and trustworthy AI that respects human rights and democratic values, adopted by 47 countries.

Official source →

ISO/IEC 23894

ISO/IEC · International

Standard

Guidance on AI risk management aligned with ISO 31000. Complements ISO 42001 with a deeper view of risk processes for AI lifecycles.

Official source →

UK AI Regulation Framework

UK Government · United Kingdom

Principles

Pro-innovation, principles-based, sector-led approach. Five cross-cutting principles delivered through existing regulators.

Official source →