Statement of reasons
A rulemaking body's own explanatory document, an Initial Statement of Reasons ahead of a proposal and a Final Statement of Reasons alongside adoption in California's practice, summarizing comments received and stating why the text did or did not change in response, distinct from and more directly citable than a reader's own inference.
Defined in 2 GAGE programs, which carry 2 distinct definitions of it. The wording above is taught in The AI Lobbyist: Certified AI Policy Strategist.
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 rulemaking body's own explanatory document, an Initial Statement of Reasons ahead of a proposal and a Final Statement of Reasons alongside adoption in California's practice, summarizing comments received and stating why the text did or did not change in response, distinct from and more directly citable than a reader's own inference.
An explanation owed to a person affected by an automated decision (required for certain automated actions under regimes such as the EU Digital Services Act), which an organization can produce honestly only if its systems kept an action-level record of what was decided and why.
Where it is taught
The exact lessons this term appears in. The first module of every program is free with a free account.
- The agent audit trail: logging actions so you can reconstruct any decision it made · Agents Under Command, Certified AI Governance Professional (CAIGP)
- Reading a Draft Rule for What It Would Actually Do · Policy Influence in Practice, The AI Lobbyist: Certified AI Policy Strategist
Where it shows up at work
A definition is where Statement of reasons 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.
Collects, labels and preserves the evidence that a control operated, a decision was made, and a claim can be defended to an auditor or regulator.
One lesson on this page teach it as a primary outcome.
Reads bills and rules like a practitioner, compares options with costs and unintended effects, and writes briefs a decision-maker can act on.
One lesson on this page teach it as a primary outcome.
Scopes an AI audit, sets criteria, samples, interviews, tests, writes findings with condition, criteria, cause, effect and recommendation, and tracks remediation.
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 Audit Executive, AI audit editionneeds it at depth
- AI Auditorneeds it at depth · 9 open postings this week
- Senior AI Compliance Analystneeds working knowledge
- AI Compliance Specialistneeds working knowledge · 1 open posting this week
- AI Program Managerneeds it at depth · 11 open postings this week
- Security Compliance Managerneeds it at depth · 4 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: EU AI Act Articles 11 and 12; ISO/IEC 42001 Clause 7.5; Global Internal Audit Standards; ISO/IEC 42001 Clause 9.2.
One interview question about it
What evidence would you have ready before an auditor asks about an AI system, and how do you produce it as a byproduct of the work?
Asked of candidates for evidence collection and audit-ready documentation. 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.
- Compliance and regulatory affairs carries it as work you can show: Audit-ready documentation is what you produce.
- Internal audit and IT audit carries it as work you can show: Evidence evaluation is the profession.
- Project and program management carries it as a claim to back up: Decision logs and repositories are familiar.
Terms it appears with
Not an alphabetical neighbourhood: these are the terms taught in the same lessons, ranked by how often they appear together.