Model AI Governance Framework for Generative AI
A separate, cross-sector IMDA and AI Verify Foundation voluntary instrument published 30 May 2024, covering generative AI across nine dimensions. Where a financial institution's generative AI feature is also within the AIRG's scope, both instruments apply, with the MGF for Generative AI offering general design practice and the AIRG governing the institution's own risk management record. (see Topic 6.7)
Defined in 2 GAGE programs, which carry 4 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.
A separate, cross-sector IMDA and AI Verify Foundation voluntary instrument published 30 May 2024, covering generative AI across nine dimensions. Where a financial institution's generative AI feature is also within the AIRG's scope, both instruments apply, with the MGF for Generative AI offering general design practice and the AIRG governing the institution's own risk management record. (see Topic 6.7)
IMDA's second framework, published 2024, aimed at systems that generate content (text, images) in response to a prompt, the chatbot category this topic defines. Its natural controls (content review, disclosure) address bad outputs, distinct from the Agentic MGF's controls for bad actions.
IMDA's 2024 governance framework addressing generative AI systems, published between the Traditional AI framework and the Agentic AI framework, and part of the same institutional lineage.
Published by IMDA and the AI Verify Foundation on 30 May 2024. Organizes guidance for generative AI (large language models, image generators, and similar systems) into nine policy dimensions.
Where it is taught
The exact lessons this term appears in. The first module of every program is free with a free account.
- What an Agent Actually Is · Taking the Controls, Certified Agentic AI Governance Professional (CAAGP)
- The Instrument · Taking the Controls, Certified Agentic AI Governance Professional (CAAGP)
- The Singapore stack: voluntary on paper, adopted in practice · The World's Rulebooks, Certified AI Governance Professional (CAIGP)
- MAS runs the hardest AI regime in APAC, and it has never been a law · The World's Rulebooks, Certified AI Governance Professional (CAIGP)
Where it shows up at work
A definition is where Model AI Governance Framework for Generative AI 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.
Governs AI agents that take actions: tool access, least privilege, interruptibility, cascading actions and accountability for what an agent did.
One lesson on this page teach it as a primary outcome.
Applies IMDA's Model AI Governance Framework, AI Verify and the PDPA alongside Western frameworks for organizations operating across Asia.
One lesson on this page teach it as a primary outcome.
Runs GOVERN, MAP, MEASURE and MANAGE as a cycle with evidence, builds current and target profiles, and applies the generative AI profile.
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.
- Chief Information Security Officer, AI security focusneeds it at depth
- AI Security Architectneeds it at depth · 8 open postings this week
- Chief Technology Officer, AI engineering editionneeds working knowledge
- VP of AI Governance and Ethicsneeds working knowledge
- Agentic AI Engineer, orchestration editionneeds working knowledge
- AI Governance Engineerneeds working knowledge · 7 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 for Agentic AI; NIST AI RMF; IMDA Model AI Governance Framework; PDPA.
One interview question about it
An agent can send emails and update records. What may it touch, what needs a human, and how do you prove afterwards what it did?
Asked of candidates for agentic ai controls and authorization boundaries. 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.