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
What this label means
- Verified
- — a named reviewer opened the official source and confirmed the record; the date and the reviewer are shown.
- Pending review
- — linked to the official source and in the queue for a reviewer to confirm.
- Source-linked
- — linked to the official source, not yet confirmed by a reviewer.
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.
- Instrument
- Singapore Model AI Governance Framework
- 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.
- Sectors
- Cross-sector / all sectors
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 · annualAI 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 systemAI 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 · annualAI 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.
- AI System Inventory
Register · XLSX and DOCX · v6
- AI Acceptable Use Policy
Policy · DOCX · v1
- AI Governance Policy and RACI
Policy · DOCX and XLSX · v5
- ISO/IEC 42001 Gap Assessment and Statement of Applicability
Assessment · XLSX · v3
What evidence would a reviewer expect?
| Evidence | Type | Notes |
|---|---|---|
| AI governance structure document | document |
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 | Reference | Note | Confidence |
|---|---|---|---|
| ISO/IEC 42001:2023 | Clause 5 Leadership | Original editorial mapping. | high |
| NIST AI RMF 1.0 | GOVERN 2.x | Original 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
- Use high-risk AI as instructed, monitor it and inform affected people — EU AI Act, European Union
- Providers must meet the full set of provider duties for high-risk AI — EU AI Act, European Union
- Providers must supply conformity evidence and log access to authorities on request — EU AI Act, European Union
- Non-EU providers must appoint an EU authorised representative for high-risk AI — EU AI Act, European Union
- Deployers, distributors and importers must assume provider duties when they rebrand or substantially modify high-risk AI — EU AI Act, European Union
- Law-enforcement deployers must obtain authorisation for post-remote biometric identification and report annually — EU AI Act, European Union
- Providers of GPAI models must notify the Commission within two weeks of meeting the systemic-risk threshold — EU AI Act, European Union
- Non-EU providers of GPAI models must appoint an EU authorised representative — EU AI Act, European Union
Disclaimer: informational only, not legal advice. Verify every claim against the linked official sources and consult a qualified lawyer before acting.