AI Governance & Ethics

Responsible AI Frameworks Compared: NIST AI RMF and ISO/IEC 42001

Two of the most referenced frameworks approach AI risk differently. Here's how they fit together.

IAICB Standards DeskGovernance & Assessment
Published 1 min read
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As organisations formalise AI governance, two frameworks come up again and again: the NIST AI Risk Management Framework from the United States and the international standard ISO/IEC 42001.

NIST AI RMF

Published in 2023, the NIST AI RMF is voluntary and organised around four functions: Govern (culture, policies and accountability), Map (context and risks), Measure (analysis and tracking) and Manage (prioritising and responding to risks).

The four functions of the NIST AI RMF, with Govern as the cross-cutting foundation.

ISO/IEC 42001

Also published in 2023, ISO/IEC 42001 specifies requirements for establishing, implementing, maintaining and improving an AI management system. Like other ISO management system standards, it follows a familiar structure and organisations can seek certification against it.

Using them together

Many organisations use ISO/IEC 42001 as the management backbone — policies, roles, audits and continual improvement — and draw on the NIST AI RMF for detailed risk practices within that system.

Frameworks don't create responsible AI. People with clear accountability, applying them consistently, do.

Key takeaways

  1. NIST AI RMF is a voluntary framework organised around Govern, Map, Measure and Manage.
  2. ISO/IEC 42001 specifies requirements for an AI management system and supports certification.
  3. The two complement each other: one guides risk practice, the other structures management.
  4. Both reward a clear AI inventory and defined accountability.
NISTISO 42001Risk
IAICB Standards Desk

Governance & Assessment at the International AI Certification Board, publishing independent analysis for AI professionals and leaders.

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