standards-body

National Institute of Standards and Technology

United States

The federal standards body that develops AI risk-management, measurement and evaluation resources.

Policy questions

Recorded interests

Frontier safety

Should frontier models face mandatory evaluations?

Evaluation language is widespread in policy texts. Thresholds, evaluators and legal consequences remain contested.

Policy asks

Connected outcomes

introduced

Require public disclosure rules for foundation-model training data, testing and operations

Direct a federal regulator to establish public-information requirements covering training data, documentation, testing, inference-time collection and model operations for covered foundation models.

adopted

Use voluntary AI risk-management frameworks for organisational governance

Adopt voluntary frameworks such as the NIST AI RMF to manage trustworthiness risks without treating the framework text as a statute.

Policy vehicles

bill · Introduced

H.R. 8094 · AI Foundation Model Transparency Act of 2026

A House bill directing the FTC to establish public disclosure requirements for covered foundation models.

guidance · Published (voluntary)

NIST AI Risk Management Framework

US federal voluntary framework for managing AI trustworthiness risks across design, development, use and evaluation.

Event history

Recorded actions

2023-01-26
NIST releases AI Risk Management Framework 1.0
NIST published the voluntary AI Risk Management Framework.

Evidence

Passages linked to this actor

Direct sourceOpen evidence record

NIST states the AI RMF is intended for voluntary use

NIST’s AI RMF overview describes the framework as voluntary and designed to improve trustworthiness risk management.

The NIST AI Risk Management Framework (AI RMF) is intended for voluntary use and to improve the ability to incorporate trustworthiness considerations into the design, development, use, and evaluation of AI products, services, and systems.

National Institute of Standards and Technology · NIST AI RMF overview page · Overview of the AI RMF