Model AI Governance Framework for Generative AI (2024)
Is this legally binding?
Guidance. Voluntary guidance. Best practice, not obligation, until a contract or a regulator cites it.
Finalised 30 May 2024 by AI Verify Foundation and IMDA after a proposed draft (16 Jan 2024) drew over 70 international responses; expands the Model Framework for traditional AI into nine dimensions to foster a trusted generative AI ecosystem. Non-binding guidance with practical suggestions for developers, deployers and policymakers.
From the source
“There are nine dimensions which the Framework proposes to be looked at in totality, to foster a trusted ecosystem.”
Executive Summary, pp.3-5; May 2024
Instrument record
- Short name
- MGF-GenAI
- Date
- 2024-05-30
- Version
- May 2024
- Cluster
- core
What this connects to
36 relations. Official relations are the ones the source documents state; anything marked GAGE analysis is our reading, not an agency's.
Contains9
- SectionDimension 1: AccountabilityGuidance
- SectionDimension 2: DataGuidance
- SectionDimension 3: Trusted Development and DeploymentGuidance
- SectionDimension 4: Incident ReportingGuidance
- SectionDimension 5: Testing and AssuranceGuidance
- SectionDimension 6: SecurityGuidance
- SectionDimension 7: Content ProvenanceGuidance
- SectionDimension 8: Safety and Alignment R&DGuidance
- SectionDimension 9: AI for Public GoodGuidance
Operationalised by1
Issued by2
Applied to by3
- EventDiscussion Paper 'Generative AI: Implications for Trust and Governance'GuidanceGAGE analysis, not official
Milestone event for the instrument
- EventProposed Model AI Governance Framework for Generative AI released for consultationConsultationGAGE analysis, not official
Milestone event for the instrument
- EventFinalised MGF for Generative AI releasedGuidanceGAGE analysis, not official
Milestone event for the instrument
Cites2
- InstrumentModel AI Governance Framework, 2nd Edition (2020)Guidance
GenAI MGF exec summary: MGF released 2019, updated 2020; framework expands on the existing Model Framework for traditional AI
- External frameworkNIST AI Risk Management Framework 1.0 (extern crosswalk target)GuidanceGAGE analysis, not official
IMDA 16 Jan 2024 press release situates the framework as building on the Singapore-US IMDA-NIST crosswalk of national AI governance frameworks
Cited by1
- InstrumentModel AI Governance Framework for Agentic AIGuidanceGAGE analysis, not official
Agentic MGF exec summary: 'Building on our previous model governance frameworks'; GenAI MGF (2024) is the immediate predecessor in the family
Maps across to7
- External frameworkNote: NIST AI 600-1 Generative AI Profile (July 2024)GuidanceGAGE analysis, not official
Both are generative-AI-specific governance layers over a base framework
- External frameworkArticle 15: Accuracy, robustness and cybersecurityBindingGAGE analysis, not official
GenAI MGF's security dimension anticipates EU accuracy/robustness/cybersecurity requirements
- External frameworkClause 8: OperationStandardGAGE analysis, not official
GenAI MGF operational dimensions map to AIMS operational controls
- External frameworkArticle 4: AI literacyBindingGAGE analysis, not official
GenAI MGF's capacity-building emphasis parallels Article 4 AI literacy
- External frameworkArticle 12: Record-keepingBindingGAGE analysis, not official
GenAI MGF documentation practices anticipate Article 12 logging
- External frameworkFunction: MEASUREGuidanceGAGE analysis, not official
GenAI MGF testing and assurance dimension corresponds to MEASURE
- External frameworkArticle 26: Obligations of deployersBindingGAGE analysis, not official
GenAI MGF deployer-facing guidance anticipates deployer obligations
Mapped across from11
- InstrumentExpanded ASEAN Guide on AI Governance and Ethics, Generative AI (2025)GuidanceGAGE analysis, not official
ASEAN GenAI focus areas mirror Singapore's GenAI MGF dimensions; Singapore championed the regional guide
- SectionFocus area 1: AccountabilityGuidanceGAGE analysis, not official
Mirrors GenAI MGF accountability dimension
- SectionFocus area 2: DataGuidanceGAGE analysis, not official
Mirrors GenAI MGF data dimension
- SectionFocus area 3: Trusted Development and DeploymentGuidanceGAGE analysis, not official
Mirrors GenAI MGF trusted development and deployment dimension
- SectionFocus area 4: Incident ReportingGuidanceGAGE analysis, not official
Mirrors GenAI MGF incident reporting dimension
- SectionFocus area 5: Testing and AssuranceGuidanceGAGE analysis, not official
Mirrors GenAI MGF testing and assurance dimension
- SectionFocus area 6: SecurityGuidanceGAGE analysis, not official
Mirrors GenAI MGF security dimension
- SectionFocus area 7: Content ProvenanceGuidanceGAGE analysis, not official
Mirrors GenAI MGF content provenance dimension
- SectionFocus area 8: Safety and Alignment Research & DevelopmentGuidanceGAGE analysis, not official
Mirrors GenAI MGF safety and alignment R&D dimension
- SectionFocus area 9: AI for Public GoodGuidanceGAGE analysis, not official
Mirrors GenAI MGF AI-for-public-good dimension
- InstrumentNIST AI 600-1: Generative AI ProfileGuidanceUSGAGE analysis, not official
The two national generative AI frameworks, published months apart
Learn this properly
This page tells you what Model AI Governance Framework for Generative AI (2024) is and whether it binds you. The AI Governance program teaches the whole discipline, with dedicated coverage of the Singapore governance stack and the MAS regime, and every topic is passed by explaining it back in your own words, graded against the source.
See the AI Governance programVerified against the official source on 2026-08-17. GAGE is not affiliated with or endorsed by any agency named here, and nothing on this page is legal advice. How this is built and checked.
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