AI Verify
Singapore's voluntary AI governance testing framework and toolkit (Infocomm Media Development Authority, first released 2022), letting organizations run standardized technical tests and process checks. It carries no enforcement consequences but is referenced in Singapore procurement, an example of a voluntary framework that buys a trust and procurement signal.
Defined in 3 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.
Singapore's voluntary AI governance testing framework and toolkit (Infocomm Media Development Authority, first released 2022), letting organizations run standardized technical tests and process checks. It carries no enforcement consequences but is referenced in Singapore procurement, an example of a voluntary framework that buys a trust and procurement signal.
A testing framework and toolkit co-developed by IMDA and Singapore's Personal Data Protection Commission (PDPC) in 2022, providing a way to evaluate AI systems against governance principles; part of the same lineage that leads to the Agentic AI framework.
Singapore's voluntary AI governance testing framework, providing a structured mechanism for organizations to substantiate safety or fairness claims with published test results rather than general assertions.
Singapore's voluntary, sector-agnostic AI governance testing framework and toolkit, an example of a non-statutory regulatory approach distinct from the EU's binding AI Act enforcement model.
Where it is taught
The exact lessons this term appears in. The first module of every program is free with a free account.
- The Instrument · Taking the Controls, Certified Agentic AI Governance Professional (CAAGP)
- Standards versus law: what certification buys you and what it never will · The World's Rulebooks, Certified AI Governance Professional (CAIGP)
- The Liability Risk Assessment and Mitigation Strategy · Legal Frameworks and Liability Navigation, The AI Lobbyist: Certified AI Policy Strategist
- Ethics Risk Management: Authentic Positions That Survive Scrutiny · Ethics as Sustainable Strategy, The AI Lobbyist: Certified AI Policy Strategist
Where it shows up at work
A definition is where AI Verify 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.
Runs GOVERN, MAP, MEASURE and MANAGE as a cycle with evidence, builds current and target profiles, and applies the generative AI profile.
2 lessons on this page teach it as a primary outcome.
Reviews purpose, data, affected people, accuracy, bias, security, oversight, vendors and law for a use case, scores likelihood and impact, and documents residual risk.
One lesson on this page teach it as a primary outcome.
Keeps the living record: each risk with a named owner, rating, treatment, residual risk, monitoring metric, threshold and review date.
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 Risk Managerneeds it at depth · 2 open postings this week
- AI Governance Managerneeds it at depth
- Ethical AI Specialistneeds working knowledge · 5 open postings this week
- AI Governance Analystneeds working knowledge · 3 open postings this week
- Third-Party AI Risk Analystneeds working knowledge
- Senior AI Compliance Analystneeds working knowledge
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: NIST AI RMF 1.0; NIST AI 600-1; NIST AI RMF MAP and MEASURE; ISO/IEC 42005.
One interview question about it
Show me how you would apply the NIST AI RMF to one real system, function by function, without turning it into a checklist.
Asked of candidates for nist ai rmf in practice. 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.
If you come from another field
Some backgrounds already carry this competency, and the readiness check gives credit for it.
- Privacy and data protection carries it as work you can show: A DPIA is an impact assessment; the AI version adds accuracy, bias and oversight.
- Internal audit and IT audit carries it as a claim to back up: Remediation tracking is familiar from follow-up work.
Terms it appears with
Not an alphabetical neighbourhood: these are the terms taught in the same lessons, ranked by how often they appear together.