Artificial Intelligence Policy Tracker
Voluntary guidance Governance and accountability United States Voluntary standard

Establish AI governance policies, roles and accountability (Govern)

Download: JSON · MarkdownUnder NIST AI RMF, GOVERN function

Source-linked · linked to the official source, not yet confirmed by a reviewer (a factual check against the official source, not a legal review or legal advice)
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No change recorded as of 26 Sep 2026 · official source last checked
On this page 9 sections

In brief

Establish AI governance policies, roles and accountability (Govern) is a voluntary measure under the NIST AI RMF in the United States (GOVERN function). Govern covers policies and procedures for AI risk, roles and responsibilities, workforce diversity and training, organisational culture, stakeholder engagement, and third-party risk management. The record carries 1 evidence example and mappings to 1 framework.

Instrument
NIST AI RMF
Jurisdiction
United States
Nature
Voluntary guidance
Source reference
GOVERN function
Who it binds
Provider / developer, Deployer / user organisation
Evidence examples
1
Framework mappings
ISO/IEC 42001:2023
Controls that meet it
3
Official source
Open official text
Verification
Source-linked

What does it require?

Govern covers policies and procedures for AI risk, roles and responsibilities, workforce diversity and training, organisational culture, stakeholder engagement, and third-party risk management. It is the cross-cutting function that supports the other three.

Practical action

Adopt an AI policy, assign owners, and set a risk-tolerance statement approved by leadership.

Who does it apply to?

Voluntary; any organisation adopting the framework.

Which controls meet this duty?

Satisfies: the control, operated properly, does the work the duty asks for. Supports: it contributes but the duty needs more. Each control page lists every other duty it serves, so work done once can be counted once.

  • satisfiesPolicyExecutive sponsor for AI · annual
    AI governance policy and accountability structure

    Serves 16 recorded duties · evidence: AI policy, Board or executive approval of the AI policy, AI governance forum minutes

    Policy, roles, risk tolerance and culture map to the Govern outcomes.

  • supportsTraining programmeLearning and development lead · annual
    AI literacy and role-based training programme

    Serves 4 recorded duties · evidence: AI training completion records, Role-to-curriculum training matrix, AI training curriculum and materials

    Workforce training outcomes.

  • supportsProcessProcurement or vendor risk lead · once per ai system
    Vendor and third-party AI due diligence

    Serves 6 recorded duties · evidence: AI supplier due-diligence assessment, AI supplier and component register, Supplier onboarding decision

    Third-party risk management outcomes.

Templates that cover this duty

Generated from the records. Free · no account · links emailed to your work address. This duty is cited in each file with its source reference and a link back here.

All 9 templates that cover it →

What evidence would a reviewer expect?

Evidence examples
EvidenceTypeNotes
AI governance policydocument

Framework mappings

Original editorial crosswalks. They cite clause numbers only and reproduce no standard text; confidence reflects how direct the mapping is.

See every United States duty mapped this way →

Framework mappings table
FrameworkReferenceNoteConfidence
ISO/IEC 42001:2023Clauses 4–5 and 7Original editorial mapping: leadership, context and support.high

Frequently asked questions

Is this a legal requirement?

No. It is voluntary guidance under NIST AI RMF; following it is expected or recommended rather than required by law.

Who must comply with this obligation?

Voluntary; any organisation adopting the framework.

What evidence shows compliance?

A reviewer would expect: AI governance policy.

Which frameworks map to this obligation?

It is mapped to ISO/IEC 42001:2023 Clauses 4–5 and 7. These are editorial crosswalks with a stated confidence, not official mappings.

Which controls satisfy this obligation?

AI governance policy and accountability structure; AI literacy and role-based training programme; Vendor and third-party AI due diligence.

What should an organisation do in practice?

Adopt an AI policy, assign owners, and set a risk-tolerance statement approved by leadership.

Cite this record

AIPolicyTracker (2026). “Establish AI governance policies, roles and accountability (Govern) (NIST AI RMF)” [AIPT-OBL-0112, verified 26 September 2026 by Bhaskar Bhatt]. https://aipolicytracker.org/id/AIPT-OBL-0112 (accessed 27 October 2026). Data licensed CC BY 4.0.

Permanent id AIPT-OBL-0112: it never changes or gets reused, and its address keeps working if this page moves.

Cite the official text alongside it: Artificial Intelligence Risk Management Framework (AI RMF 1.0), National Institute of Standards and Technology, https://nvlpubs.nist.gov/nistpubs/ai/NIST.AI.100-1.pdf.

BibTeX
@misc{aipolicytracker2026_establishaigovernancepol,
  author       = {{AIPolicyTracker}},
  title        = {{Establish AI governance policies, roles and accountability (Govern) (NIST AI RMF)}},
  year         = {2026},
  howpublished = {\url{https://aipolicytracker.org/obligations/us-nist-ai-rmf-govern}},
  url          = {https://aipolicytracker.org/obligations/us-nist-ai-rmf-govern},
  urldate      = {2026-10-27},
  note         = {Data licensed CC BY 4.0. Accessed 27 October 2026}
}

Change history

No change to this record's tracked fields has been recorded since 15 October 2026, when field-level history began.

Similar obligations in other instruments

Disclaimer: informational only, not legal advice. Verify every claim against the linked official sources and consult a qualified lawyer before acting.