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Governance

From AI Law Wiki

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Explore how organizations oversee the AI systems they develop, buy and use. Governance assigns responsibility, assesses and manages risks, checks systems before and after deployment, and records decisions. It includes legal compliance and voluntary practices; each framework article explains its own status.


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General frameworks and standards

  • NIST AI Risk Management Framework — Voluntary U.S. framework organized around Govern, Map, Measure and Manage; applicable across sectors.
  • NIST Generative AI Profile — Companion guidance on generative-AI risks and proposed actions.
  • ISO/IEC 42001:2023 — International AI management-system standard for organizations that provide or use AI systems. The linked public IEC record explains its scope; the full standard is sold separately.

Applied guidance

Organizational incidents and accountability

Reading AI governance proposals

  • How to interrogate AI regulations — In this October 1, 2026 commentary for The Journalist's Resource, Charlie Pozniak suggests asking which harm a proposal targets, who has legal authority, whom it would regulate, what duties it would impose and how those duties could reduce the harm. It is an analytical guide, not a legal instrument.





Research