AIAC-06 · Sector track
For public-sector teams deploying AI in services, casework, and decision support, where decisions affect citizens and must withstand public and parliamentary scrutiny.
§ 1 — Intended candidates
Digital and programme leads, risk and assurance functions, and procurement teams in government and public bodies.
§ 2 — Examination domains
Domain weightings are published with the full syllabus ahead of the first cohort.
Identifying where an AI system materially affects an entitlement, an obligation, or access to a service.
What must be published, what a citizen must be told, and how a decision is challenged in practice.
Specifying assurance requirements in a tender, because after award the leverage is gone.
Testing for differential outcomes across the population a service is obliged to serve equally.
Maintaining a record sufficient to answer an audit office, an ombudsman, or a committee.
§ 3 — How to certify
Preparation is optional. Choose whichever route suits how you already work — the examination, the fee, and the marking standard are the same either way.
Register and sit the examination. Suitable for practitioners already working in assurance who want the credential without preparation.
The same examination, bundled with self-paced preparation mapped to the syllabus. Taking it confers no advantage in marking and is never required.
Preparation is optional. The examination is available at the same fee and marked to the same standard whether or not preparation was purchased, and assessors are not told which route a candidate took. How we manage this conflict.
§ 4 — Assessment
Scenario-based examination set in a public service context supplied at the start, requiring a risk profile and a transparency assessment a citizen could act on.
Successful candidates receive a credential with a unique identifier that any employer can check against the public record. See credential verification.
Curriculum mapping indicates alignment of learning content with published frameworks. It does not constitute endorsement by, or certification under, any standards organization or regulator.
§ 5 — Further reading
Producing credible, independently reviewable evidence that an AI system works as intended — and how that differs from governance and compliance.
Three terms used interchangeably that mean different things, have different outputs, and require different independence. A practitioner-level distinction.