Domain · 31%
AI Governance & Program Management
This domain is about who's accountable for AI, and how that accountability is structured, documented, and enforced across an organization. It ties for the largest single share of the exam alongside Risk Management, at 31%.
What it covers
Four things this domain is really testing
- Oversight structures: who owns AI decisions, and what committees or roles review them.
- Policy: acceptable-use rules and procurement standards for AI, including third-party and vendor AI.
- Program strategy: roadmaps and maturity that align AI adoption with business objectives, not just technical capability.
- Accountability and reporting: how AI risk and performance get escalated and reported up the chain.
Why it's weighted this heavily
Governance gaps are where AI risk starts
Most AI incidents that make headlines trace back to a governance gap, not a purely technical failure: nobody owned the decision to deploy a model, or no policy existed for vetting a third-party AI vendor. This domain tests whether you can close those gaps before they turn into risk or control failures.
Questions
Governance domain, answered
What does 'AI governance' mean in practice?
It means defining who's accountable for AI decisions, setting policy for how AI can be used and procured, and building the oversight structures that keep those decisions visible and reviewable.
Is this domain about writing policy documents?
Policy is part of it, but the domain is broader: it also covers program strategy, oversight roles, and how governance decisions get reported and enforced across an organization.
Ready to prep for AAISM™?
Certifi360 targets your gaps from minute one: 177 exam-style questions with rationale, 102 concepts, 115 flashcards, a 13-section cram sheet, and full timed exam simulations across all three weighted domains.