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NIST AI RMF Playbook

In collaboration with the private and public sectors, NIST has created a companion AI RMF playbook  for voluntary use – which suggests ways to navigate and use the AI Risk Management Framework (AI RMF) to incorporate trustworthiness considerations in the design, development, deployment, and use of AI systems.

The current draft Playbook is based on AI RMF 1.0 (released on January 26, 2023). It includes suggested actions, references, and related guidance to achieve the outcomes for the four functions in the AI RMF: Govern, Map, Measure, and Manage. Playbook suggestions are developed based on best practices and research insights.

The AI RMF and the Playbook are intended for voluntary use. Organizations may utilize this information by borrowing as many – or as few – suggestions as apply to their industry use case or interests.

Playbook content is not considered final and is being released to enable community review and feedback about its informativeness, accuracy and specificity. Aspects related to the presentation and delivery of Playbook suggestions are under development. Future online versions may include options for filtering or tailoring information to user preferences and requirements.

Feedback may be provided either as comments or as specific line-edit additions or modifications. and submitted to AIframework [at] nist.gov ( ) through February 27, 2023. A revised version will be posted in the Spring of 2023. Comments are welcome anytime and the Playbook will be updated approximately twice per year.

The NIST AI RMF Playbook is an online resource and is hosted temporarily on GitHub pages.

Sign up to receive email notifications about NIST’s AI Initiatives here by entering your preferred email address and selecting Information Technology Laboratory > Artificial Intelligence in your subscriber preferences.

View the AI RMF Playbook

Recommendations for Reviewing the AI RMF Playbook 

Individuals are encouraged to comment on:

  1. Its relative usefulness as a complementary resource to the AI RMF.
  2. Whether the guidance is actionable to meet each of the AI RMF functions, especially as related to organization size.
  3. Suggested presentation alternatives for the forthcoming first online version to improve usability and effectiveness.

Feedback may be provided either as comments or as specific line-edit additions or modifications. NIST welcomes suggestions about including references to existing resources or new resources to help users of the AI RMF. Comments can be suggested for the Playbook at any time and will be reviewed and integrated on a semi-annual basis. NIST is especially interested in comments on the Measure and Manage functions by February 27, 2023. Send comments via email to AIframework [at] nist.govtitle="mailto:AIframework [at] nist.gov".

Sign up to receive email notifications about NIST’s AI Initiatives here by entering your preferred email address and selecting Information Technology Laboratory > Artificial Intelligence in your subscriber preferences.

Frequently Asked Questions

Created July 8, 2022, Updated February 1, 2023