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NIST AI Risk Management Framework
governmentCredibility Rating
5/5
Gold(5)Gold standard. Rigorous peer review, high editorial standards, and strong institutional reputation.
Rating inherited from publication venue: NIST
The NIST AI RMF is a widely referenced U.S. government standard for AI risk governance, frequently cited in policy discussions and used by organizations building internal AI safety and compliance programs; relevant to AI safety researchers tracking institutional governance approaches.
Metadata
Importance: 72/100guidance documentreference
Summary
The NIST AI RMF is a voluntary, consensus-driven framework released in January 2023 to help organizations identify, assess, and manage risks associated with AI systems while promoting trustworthiness across design, development, deployment, and evaluation. It provides structured guidance organized around core functions and is accompanied by a Playbook, Roadmap, and a Generative AI Profile (2024) addressing risks specific to generative AI systems.
Key Points
- •Voluntary framework developed through public-private collaboration, released January 2023, with translations available in Arabic and Japanese.
- •Organizes AI risk management around trustworthiness properties including safety, security, explainability, fairness, privacy, and accountability.
- •Accompanied by supplementary resources: AI RMF Playbook, Roadmap, Crosswalk, and Trustworthy & Responsible AI Resource Center launched March 2023.
- •Generative AI Profile (NIST-AI-600-1, July 2024) extends the framework to address unique risks from generative AI systems.
- •Designed to align with and build upon existing AI risk efforts internationally, serving as a baseline for organizational AI governance.
Cited by 40 pages
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AI Risk Management Framework | NIST
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https://www.nist.gov/itl/ai-risk-management-framework
Information Technology Laboratory
AI Risk Management Framework
Quick Links
Download the AI RMF 1.0 View the AI RMF Playbook Visit the AI Resource Center
Overview of the AI RMF
In collaboration with the private and public sectors, NIST has developed a framework to better manage risks to individuals, organizations, and society associated with artificial intelligence (AI). 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.
Released on January 26, 2023, the Framework was developed through a consensus-driven, open, transparent, and collaborative process that included a Request for Information, several draft versions for public comments, multiple workshops , and other opportunities to provide input. It is intended to build on, align with, and support AI risk management efforts by others ( Fact Sheet ).
A companion NIST AI RMF Playbook also has been published by NIST along with an AI RMF Roadmap , AI RMF Crosswalk , and various Perspectives .
On March 30, 2023, NIST launched the Trustworthy and Responsible AI Resource Center , which will facilitate implementation of, and international alignment with, the AI RMF. Examples of how other organizations are building on and using the AI RMF can be found via the AIRC’s Use Case page .
On July 26, 2024, NIST released NIST-AI- 600-1, Artificial Intelligence Risk Management Framework: Generative Artificial Intelligence Profile . The profile can help organizations identify unique risks posed by generative AI and proposes actions for generative AI risk management that best aligns with their goals and priorities.
To view public comments received on the previous drafts of the AI RMF and Requests for Information, see the AI RMF Development page.
Translations
NIST AI Risk Management Framework (Arabic)
NIST AI Risk Management Framework (Japanese)
Prior Documents
Second draft of the AI Risk Management Framework (August 18, 2022)
Initial draft of the AI Risk Management Framework (March 17, 2022)
Concept paper to help guide development of the AI Risk Management Framework (December 13, 2021)
Brief summary of responses to the July 29, 2021, RFI (October 15,
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