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Record STMT-W0D6609Voluntary

NIST AI RMF Playbook

Framework Institutional policyNorthern America · USadopted

The NIST AI RMF Playbook is a companion guide to the AI Risk Management Framework (AI RMF 1.0) designed to help organizations incorporate trustworthiness into the design, development, deployment, and use of AI systems. Developed in collaboration with the private and public sectors, it provides suggested actions, references, and related guidance to achieve outcomes across the four core functions: Govern, Map, Measure, and Manage. The playbook is intended for voluntary use and allows organizations to adapt suggestions to their specific industry use cases.

Summary and content fields are drawn from the document text and are pending editorial review.

Who issued it

National Institute of Standards and TechnologyGovernment · US
Lead issuer
Legal forceVoluntary
Under whose authorityInstitutional policy
Judged fromfull text

Who it governs

CompaniesPublic sector bodiesAI developers and providersAI deployers and usersResearchers and academics

This playbook is for organizations and practitioners looking for practical, voluntary guidance on how to manage AI risks and incorporate trustworthiness into their AI systems.

Sectors
Cross-sector

What the document contains

What's covered

The document covers suggested actions, references, and related guidance structured around the four core functions of the AI Risk Management Framework: Govern, Map, Measure, and Manage. It provides options for filtering and tailoring information to meet different user preferences and requirements for AI trustworthiness.

What's missing

The document does not impose mandatory legal requirements or binding enforcement mechanisms, as it is explicitly intended for voluntary use.

Key takeaways
  • The NIST AI RMF Playbook offers voluntary, practical suggestions for implementing the AI Risk Management Framework.
  • It focuses on four core functions: Govern, Map, Measure, and Manage.
  • Organizations can select and apply as many or as few suggestions as fit their specific industry use cases.
  • The playbook is designed to evolve based on ongoing community review, feedback, and public comments.
Outline
· Govern
· Map
· Measure
· Manage
Issued30 March 2023
Length352 words
FormatNot recorded
Scopenational

How it scores

Pending review

Each score is backed by a quote verified against the document text. Editorial review has not yet confirmed them.

Accountability

1/5

Clear responsibility for AI outcomes

incorporate trustworthiness considerations in the design, development, deployment, and use of AI systems

NIST AI RMF Playbook

screening score · 2026-10-23

Fairness

0/5

Non-discrimination and equitable treatment

NIST AI RMF Playbook

screening score · 2026-10-23

Human Dignity

0/5

Respect for the inherent worth of persons

NIST AI RMF Playbook

screening score · 2026-10-23

Human Oversight

0/5

Humans remain in control of consequential decisions

NIST AI RMF Playbook

screening score · 2026-10-23

Privacy

0/5

Protection of personal data and private life

NIST AI RMF Playbook

screening score · 2026-10-23

Transparency

1/5

Openness about how AI systems work and are used

community review and feedback about its informativeness, accuracy and specificity

NIST AI RMF Playbook

screening score · 2026-10-23

Enforcement

0/5

Consequences and compliance mechanisms with real force

NIST AI RMF Playbook

screening score · 2026-10-23

Impact Assessment

3/5

Required assessment of an AI system's risks/impacts before or during use

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.

NIST AI RMF Playbook

screening score · 2026-10-23

Topics

ai_risk_management trustworthy_ai governance compliance standards