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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 AI Governance: Applied Mastery.

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.

AI Governance: Applied Mastery

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).

AI Data Governance: The Data Chair

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.

AI Literacy & Professional Conduct

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 7 topics of every program are free with a free account.

Terms it appears with

Not an alphabetical neighbourhood: these are the terms taught in the same lessons, ranked by how often they appear together.