The NIST AI Risk Management Framework (AI RMF 1.0), released in January 2023, provides a voluntary, socio-technical approach to managing AI risks through four core functions: Govern, Map, Measure, and Manage. It focuses on fostering trustworthy AI—defined by characteristics such as validity, reliability, safety, and fairness—throughout the system lifecycle. Detailed information, including the RMF Playbook,
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NIST AI 100-1
Artificial Intelligence Risk Management
Framework (AI RMF 1.0)
This publication is available free of charge from:
https://doi.org/10.6028/NIST.AI.100-1
January 2023
U.S. Department of Commerce
Gina M. Raimondo, Secretary
National Institute of Standards and Technology
Laurie E. Locascio, NIST Director and Under Secretary of Commerce for Standards and Technology

Certain commercial entities, equipment, or materials may be identified in this document in order to describe
an experimental procedure or concept adequately. Such identification is not intended to imply recommenda-
tion or endorsement by the National Institute of Standards and Technology, nor is it intended to imply that
the entities, materials, or equipment are necessarily the best available for the purpose.
This publication is available free of charge from: https://doi.org/10.6028/NIST.AI.100-1
Update Schedule and Versions
The Artificial Intelligence Risk Management Framework (AI RMF) is intended to be a living document.
NIST will review the content and usefulness of the Framework regularly to determine if an update is appro-
priate; a review with formal input from the AI community is expected to take place no later than 2028. The
Framework will employ a two-number versioning system to track and identify major and minor changes. The
first number will represent the generation of the AI RMF and its companion documents (e.g., 1.0) and will
change only with major revisions. Minor revisions will be tracked using “.n” after the generation number
(e.g., 1.1). All changes will be tracked using a Version Control Table which identifies the history, including
version number, date of change, and description of change. NIST plans to update the AI RMF Playbook
frequently. Comments on the AI RMF Playbook may be sent via email to AIframew[email protected] at any time
and will be reviewed and integrated on a semi-annual basis.
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