Artificial Intelligence Policy Tracker
Voluntary guidance Governance and accountability Singapore Voluntary standard

Establish internal governance structures and measures for AI

Download: JSON · MarkdownUnder Singapore Model AI Governance Framework, Second edition, Part on internal governance structures and measures

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No change recorded as of 26 Sep 2026 · official source last checked
On this page 9 sections

In brief

Establish internal governance structures and measures for AI is a voluntary measure under the Singapore Model AI Governance Framework in Singapore (Second edition, Part on internal governance structures and measures). Organisations should adapt existing governance to AI: clear roles and responsibilities, board and senior management oversight, risk-management and internal controls, and staff training.

Jurisdiction
Singapore
Nature
Voluntary guidance
Source reference
Second edition, Part on internal governance structures and measures
Who it binds
Provider / developer, Deployer / user organisation
Evidence examples
1
Framework mappings
ISO/IEC 42001:2023, NIST AI Risk Management Framework 1.0
Controls that meet it
3
Official source
Open official text
Verification
Source-linked

What does it require?

Organisations should adapt existing governance to AI: clear roles and responsibilities, board and senior management oversight, risk-management and internal controls, and staff training.

Practical action

Assign an AI governance owner and add AI risks to the enterprise risk register.

Who does it apply to?

Voluntary for any organisation deploying AI.

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

    Roles, board oversight and internal controls for AI.

  • supportsProcessAI system owner · once per ai system
    AI risk assessment and lifecycle risk register

    Serves 12 recorded duties · evidence: AI system risk assessment, Per-system AI risk register, Residual-risk acceptance

    Adding AI risks to enterprise risk management.

  • 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

    Staff training component.

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 structure documentdocument

Framework mappings

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

See every Singapore duty mapped this way →

Framework mappings table
FrameworkReferenceNoteConfidence
ISO/IEC 42001:2023Clause 5 LeadershipOriginal editorial mapping.high
NIST AI RMF 1.0GOVERN 2.xOriginal editorial mapping.high

Frequently asked questions

Is this a legal requirement?

No. It is voluntary guidance under Singapore Model AI Governance Framework; following it is expected or recommended rather than required by law.

Who must comply with this obligation?

Voluntary for any organisation deploying AI.

What evidence shows compliance?

A reviewer would expect: AI governance structure document.

Which frameworks map to this obligation?

It is mapped to ISO/IEC 42001:2023 Clause 5 Leadership, NIST AI Risk Management Framework 1.0 GOVERN 2.x. These are editorial crosswalks with a stated confidence, not official mappings.

Which controls satisfy this obligation?

AI risk assessment and lifecycle risk register; AI governance policy and accountability structure; AI literacy and role-based training programme.

What should an organisation do in practice?

Assign an AI governance owner and add AI risks to the enterprise risk register.

Cite this record

AIPolicyTracker (2026). “Establish internal governance structures and measures for AI (Singapore Model AI Governance Framework)” [AIPT-OBL-0054, verified 26 September 2026 by Bhaskar Bhatt]. https://aipolicytracker.org/id/AIPT-OBL-0054 (accessed 27 October 2026). Data licensed CC BY 4.0.

Permanent id AIPT-OBL-0054: it never changes or gets reused, and its address keeps working if this page moves.

Cite the official text alongside it: Model AI Governance Framework (Second Edition), Personal Data Protection Commission Singapore and IMDA, https://www.pdpc.gov.sg/help-and-resources/2020/01/model-ai-governance-framework.

BibTeX
@misc{aipolicytracker2026_establishinternalgoverna,
  author       = {{AIPolicyTracker}},
  title        = {{Establish internal governance structures and measures for AI (Singapore Model AI Governance Framework)}},
  year         = {2026},
  howpublished = {\url{https://aipolicytracker.org/obligations/singapore-mgf-internal-governance}},
  url          = {https://aipolicytracker.org/obligations/singapore-mgf-internal-governance},
  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.