NIST AI Risk Management Framework Playbook
Summary
NIST has released the AI Risk Management Framework (AI RMF) Playbook, offering voluntary suggestions to help organizations achieve AI RMF outcomes. The playbook is updated twice yearly and encourages community feedback.
What changed
NIST has published the AI RMF Playbook, a resource providing voluntary suggestions for achieving the outcomes outlined in the AI Risk Management Framework (AI RMF). The playbook is structured around the four AI RMF functions: Govern, Map, Measure, and Manage, and is intended to be a flexible resource that organizations can adapt to their specific use cases and interests, rather than a rigid checklist.
Organizations are encouraged to utilize the playbook by borrowing suggestions relevant to their industry and use case. NIST is actively seeking community feedback via email to AIframework@nist.gov for future updates, which are planned for release approximately twice per year. Future online versions may offer enhanced filtering and tailoring options.
What to do next
- Review the NIST AI RMF Playbook for relevant suggestions
- Provide feedback to NIST via AIframework@nist.gov for future updates
Source document (simplified)
NIST AI RMF Playbook
The Playbook provides suggested actions for achieving the outcomes laid out in the AI Risk Management Framework (AI RMF) Core (Tables 1
– 4 in AI RMF 1.0). Suggestions are aligned to each sub-category within the four AI RMF functions (Govern,
Map, Measure, Manage).
The Playbook is neither a checklist nor set of steps to be followed in its entirety.
Playbook suggestions are voluntary. Organizations may utilize this information by borrowing as many – or as few –
suggestions as apply to their industry use case or interests.
Download the NIST AI RMF Playbook
Explore the Playbook
Community feedback
The playbook is a living resource and is expected to evolve as AI technology advances — Individuals are
encouraged to provide feedback about the content of the Playbook by emailing AIframework@nist.gov. Playbook updates will be released
approximately twice per year.
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.
See the page previously known as "Terms" in the AI RMF Appendix A: 📚Descriptions
of AI Actor Tasks
Named provisions
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