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Policy Briefing — NIST launches AI Safety Institute Consortium governance framework

The U.S. National Institute of Standards and Technology formed the AI Safety Institute Consortium on 8 February 2024 to coordinate test methods, risk management research, and standards contributions from more than 200 organisations supporting the AI Risk Management Framework.

Zeph Tech Research Lead

Research lead, Zeph Tech

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Executive briefing: NIST formally established the AI Safety Institute Consortium (ASIC) on 8 February 2024, consolidating public- and private-sector expertise to advance evaluation methods for generative AI, red-teaming protocols, and future regulatory sandboxes. The consortium will publish shared tooling and reference architectures that operationalise the NIST AI Risk Management Framework and Executive Order 14110 directives.

Consortium mandate

  • Evaluation science. ASIC workstreams will produce measurement science for synthetic media provenance, bias testing, and safety benchmarks that federal agencies can adopt in forthcoming AI procurement rules.
  • Standards coordination. Members are expected to align contributions with ISO/IEC JTC 1/SC 42, IEEE, and international partners to avoid fragmented technical standards.
  • Incident sharing. NIST plans to pilot confidential incident reporting mechanisms to inform future guidance on monitoring and redress.

Program actions

  • Join relevant cohorts. Enterprises building or deploying foundation models should join ASIC cohorts that match their use cases to influence testing protocols.
  • Align evidence. Map existing AI assurance artefacts (model cards, safety evaluations, bias assessments) to the AI RMF core functions so documentation can flow directly into upcoming federal requests for information.
  • Track federal adoption. Monitor OMB’s implementation of M-24-10 and subsequent agency policies that reference ASIC outputs for contractor obligations.

Sources

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