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Record STMT-WE8372BVoluntary

AI RMF Playbook

AI RMF PLAYBOOK

Framework Institutional policyNorthern America · USadopted

The NIST AI Risk Management Framework Playbook provides voluntary, suggested actions for organizations to achieve the outcomes laid out in the AI RMF Core across four primary functions: Govern, Map, Measure, and Manage. It offers structured guidance to help organizations integrate trustworthy characteristics into artificial intelligence systems throughout their lifecycle. Organizations may adopt as many or as few of these suggestions as apply to their specific industry use case or risk profile.

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

National governmentRegulatorsPublic sector bodiesCompaniesAI developers and providersAI deployers and usersResearchers and academics

This playbook is for organizations, developers, deployers, and risk managers seeking practical actions to operationalize trustworthy AI risk management.

Sectors
Cross-sector

What the document contains

What's covered

The document covers voluntary suggested actions, transparency documentation questions, and references for implementing the four functions of the NIST AI Risk Management Framework: Govern, Map, Measure, and Manage. It addresses organizational policies, risk tolerances, human oversight, third-party management, context mapping, testing and evaluation methods, and risk response strategies.

What's missing

The text does not provide mandatory legal regulations, binding compliance requirements, or specific technical thresholds. It serves purely as a reference resource and playbook.

Key takeaways
  • The Playbook provides voluntary suggestions aligned with the four core functions of the AI Risk Management Framework: Govern, Map, Measure, and Manage.
  • Organizations can select and apply specific suggested actions based on their risk tolerance, industry, and intended AI use case.
  • The Govern function focuses on establishing transparent policies, processes, roles, and a safety-first organizational culture.
  • The Map function guides organizations in understanding the context, intended purposes, potential benefits, and legal or societal risks of AI systems.
  • The Measure function outlines approaches and metrics for testing, evaluating, verifying, and validating AI system trustworthiness, bias, security, and safety.
  • The Manage function provides guidance on prioritizing, responding to, and treating identified AI risks, including third-party components and system decommissioning.
Outline
· Govern
· Manage
· Map
· Measure
IssuedNot recorded
Length45,084 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

4/5

Clear responsibility for AI outcomes

Establish policies that define the AI risk management roles and responsibilities for positions directly and indirectly related to AI systems

GOVERN 2.1

screening score · 2026-10-23

Fairness

4/5

Non-discrimination and equitable treatment

Conduct fairness assessments to manage computational and statistical forms of bias which include the following steps

MEASURE 2.11

screening score · 2026-10-23

Human Dignity

3/5

Respect for the inherent worth of persons

Privacy refers generally to the norms and practices that help to safeguard human autonomy, identity, and dignity.

MEASURE 2.10

screening score · 2026-10-23

Human Oversight

4/5

Humans remain in control of consequential decisions

Establish policies and procedures that define and differentiate the various human roles and responsibilities when using, interacting with, or monitoring AI systems.

GOVERN 3.2

screening score · 2026-10-23

Privacy

4/5

Protection of personal data and private life

Specify privacy-related values, frameworks, and attributes that are applicable in the context of use through direct engagement with end users and potentially impacted groups and communities.

MEASURE 2.10

screening score · 2026-10-23

Transparency

4/5

Openness about how AI systems work and are used

Verify systems are developed to produce explainable models, post-hoc explanations and audit logs.

MEASURE 2.9

screening score · 2026-10-23

Enforcement

4/5

Consequences and compliance mechanisms with real force

Establish policies for decommissioning AI systems. Such policies typically address: • User and community concerns, and reputational risks. • Business continuity and financial risks.

GOVERN 1.7

screening score · 2026-10-23

Impact Assessment

4/5

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

Establish impact assessment policies and processes for AI systems used by the organization.

GOVERN 4.2

screening score · 2026-10-23

Topics

ai_risk_management governance trustworthy_ai compliance testing_and_evaluation
AI RMF Playbook · CEI AI Governance Database