Precision
Of all the cases the model flagged as positive, the share that truly were positive. High precision means few false alarms. Prioritized when a false positive is the more expensive mistake. Formula: true positives divided by all predicted positives.
Defined in 4 GAGE programs, which carry 6 distinct definitions of it. The wording above is taught in Certified AI Transformation Professional (CATP).
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.
Of all the cases the model flagged as positive, the share that truly were positive. High precision means few false alarms. Prioritized when a false positive is the more expensive mistake. Formula: true positives divided by all predicted positives.
The smallest problem a control would reliably catch. A design property fixed by threshold, decision rule and granularity, and the property that caps reliance, exception meaning and rating movement.
Citing the exact instrument, date, section, or figure behind a claim, specific enough that the answer survives being repeated by someone else without introducing an error.
Of the cases a model flagged as positive, the fraction that were actually positive. Rises when you tighten the model to flag less.
Of the cases a model flagged as positive, the proportion that were actually positive; a measure of how often a positive flag is correct.
Where it is taught
The exact lessons this term appears in. The first module of every program is free with a free account.
- Fixing the model, breaking it again: why fixes are never free · Build Before You Govern, Certified AI Governance Professional (CAIGP)
- Trusted Expert Protocols: Being the Call They Make First · Positioning as the AI Point Person, The AI Lobbyist: Certified AI Policy Strategist
- How AI Actually Works Under the Hood: Architectures and Limits for Policy People · Technical Credibility Deep Dive, The AI Lobbyist: Certified AI Policy Strategist
- Analytics, Telemetry and Observability · Technology, Platforms and Vendors, Certified AI Transformation Professional (CATP)
- Control taxonomy and canonical catalogs · Internal Control Architecture and Control Engineering, Certified Enterprise Governance, Risk and Compliance Professional (CEGP)
- Design effectiveness and operating effectiveness · Internal Control Architecture and Control Engineering, Certified Enterprise Governance, Risk and Compliance Professional (CEGP)
Where it shows up at work
A definition is where Precision 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.
Maps risks to preventive, detective and corrective controls, then tests design and operation with samples, evidence and defensible findings.
2 lessons on this page teach it as a primary outcome.
Explains training, tokens, context windows, embeddings, retrieval and fine-tuning well enough to ask an engineer a precise question and spot weak evidence.
One lesson on this page teach it as a primary outcome.
Decides what a person affected by an AI decision must be told, how an output can be explained, and how they can challenge it.
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 Governance Engineerneeds it at depth · 7 open postings this week
- AI Auditorneeds it at depth · 9 open postings this week
- Chief Audit Executive, AI audit editionneeds it at depth
- AI Compliance Managerneeds it at depth · 2 open postings this week
- Senior AI Compliance Analystneeds working knowledge
- AI Compliance Specialistneeds working knowledge · 1 open posting 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: COSO; ISO/IEC 42001 Annex A; Global Internal Audit Standards; EU AI Act Articles 13 and 50.
One interview question about it
Pick one AI control and tell me how you would test that it operated all year, not only that it was designed.
Asked of candidates for control design and operating-effectiveness testing. 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: Control mapping and testing evidence exist in your files.
- Internal audit and IT audit carries it as work you can show: Tests of design and operating effectiveness are the core skill.
- Operations, claims, customer service and administration carries it as a claim to back up: Identifying process risks and quality checks is control thinking.
Terms it appears with
Not an alphabetical neighbourhood: these are the terms taught in the same lessons, ranked by how often they appear together.