Model AI Governance Framework (MGF)
Singapore's family of voluntary, non-binding AI governance guidance, published by IMDA (alone or with the PDPC or the AI Verify Foundation). It comprises three instruments covering three technology generations: the Second Edition (2020, classical AI), the Generative AI framework (2024, nine dimensions), and the Agentic AI framework (2026, four dimensions).
Defined in 3 GAGE programs, which carry 3 distinct definitions of it. The wording above is taught in Certified AI Governance Professional (CAIGP).
How each discipline defines it
The same term does different work depending on who is using it. These are the definitions as each program teaches them, unedited.
Singapore's family of voluntary, non-binding AI governance guidance, published by IMDA (alone or with the PDPC or the AI Verify Foundation). It comprises three instruments covering three technology generations: the Second Edition (2020, classical AI), the Generative AI framework (2024, nine dimensions), and the Agentic AI framework (2026, four dimensions).
Singapore's family of voluntary AI governance frameworks published by IMDA (and, for its first edition, jointly with the PDPC), covering general AI, generative AI, and agentic AI, distinct from the PDPA-focused guidelines this topic centres.
A family of three voluntary Singapore frameworks (2020 general-purpose, 2024 generative AI, 2026 agentic AI) that a company may adopt into binding internal policy even though the frameworks themselves are not law.
Where it is taught
The exact lessons this term appears in. The first module of every program is free with a free account.
- Your Regulator Probably Isn't Brussels · Ethical and Responsible AI and Operational Governance, Certified AI Practitioner: Workplace Foundations
- The RAG corpus under Singapore's PDPA: access, correction, and what "delete" actually means · Feeding the Machines, Certified AI Data Governance Professional (CADGP)
- The Singapore stack: voluntary on paper, adopted in practice · The World's Rulebooks, Certified AI Governance Professional (CAIGP)
Where it shows up at work
A definition is where Model AI Governance Framework (MGF) starts. The lessons above teach it inside the competencies below, which are what job descriptions ask for and what the GAGE credential records. Every link here is drawn from the same careers map that builds a role's readiness check.
Applies IMDA's Model AI Governance Framework, AI Verify and the PDPA alongside Western frameworks for organizations operating across Asia.
3 lessons on this page teach it as a primary outcome.
Applies acceptable-use rules, discloses AI assistance where it matters, and keeps confidential material out of unapproved tools.
One lesson on this page teach it as a primary outcome.
Roles that hire for it
Each role page shows the full competency set, what the seat decides, and a readiness check against your own evidence.
- AI Literacy Leadneeds working knowledge
- AI Adoption and Enablement Leadneeds working knowledge
- Ethical AI Specialistneeds working knowledge · 5 open postings this week
How job descriptions say it
Postings rarely use the textbook word. These are the phrases the careers map reads as asking for the competencies above.
Where the frameworks place it: IMDA Model AI Governance Framework; PDPA; AI Verify; EU AI Act Article 50.
One interview question about it
Compare Singapore's approach to AI governance with the EU's, and say when a company should follow which.
Asked of candidates for singapore and apac ai governance frameworks. Answering it in your own words is exactly how a GAGE topic is passed, and the credential records the pass where an employer can check it.
Terms it appears with
Not an alphabetical neighbourhood: these are the terms taught in the same lessons, ranked by how often they appear together.