EveryAILaw.comModel AI Governance Framework
Obligations Covered
Timeline
| Milestone | Date | Notes |
|---|---|---|
| MGF 1st edition | Jan 23, 2019 | Published by IMDA/PDPC |
| MGF 2nd edition | Jan 21, 2020 | Updated guidance |
| MGF for Generative AI | Jun 19, 2024 | Addressing GenAI risks |
| MGF for Agentic AI v1.0 | Jan 22, 2026 | Autonomous agent governance, launched at WEF Davos |
Regulatory Crosswalk
Binding regulations that require the same obligations this standard addresses. Implementing this standard can help satisfy these regulatory requirements.
Related Regulations and Standards
Related instruments are selected from shared compliance obligations and jurisdiction coverage.
AI Governance and Human Oversight #
Requirements
| Requirement | Details |
|---|---|
| Human-in-the-loop | Appropriate level of human involvement based on risk and impact |
| Decision models | Three models: human-in-the-loop, human-on-the-loop, human-out-of-the-loop |
| Risk-proportionate | Level of oversight proportionate to risk of AI application |
| Agentic AI oversight | 2026 update adds guidance for autonomous agent monitoring and intervention |
Penalties
| Violation | Fine |
|---|---|
| Non-compliance | Voluntary — no direct penalties; organizations legally accountable for AI actions under existing law |
Sources: PDPC Model AI Governance Framework
Explainability and Transparency #
Requirements
| Requirement | Details |
|---|---|
| Explainable AI | Provide explanations of AI decisions appropriate to the audience |
| Transparency | Disclose use of AI in decision-making to affected individuals |
| Stakeholder communication | Proactive communication about AI use, capabilities, and limitations |
Penalties
| Violation | Fine |
|---|---|
| Non-compliance | Voluntary — no direct penalties |
Sources: PDPC Model AI Governance Framework
AI Risk Management and Third-Party Oversight #
Requirements
| Requirement | Details |
|---|---|
| Internal governance | Establish AI governance structures and accountability |
| Risk management | Lifecycle risk management from design through deployment and monitoring |
| Third-party oversight | Assess and manage risks from AI vendor and third-party systems |
| Agentic AI risks | 2026 update covers system design, deployment safeguards, monitoring, and end-user responsibility |
Penalties
| Violation | Fine |
|---|---|
| Non-compliance | Voluntary — no direct penalties |
Sources: PDPC Model AI Governance Framework
Cite this regulation
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Attribution: EveryAILaw, PAICE.work PBC. “Model AI Governance Framework”, EveryAILaw.com, Mar 26, 2026. https://everyailaw.com/regulation/sg-ai-governance-framework/
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