Override
A documented, named exception to a hard-block rule, approved by an authorized person and logged alongside the rule violation it excuses, allowing a genuine, legitimate business event to proceed without disabling the underlying rule for all future cases.
Defined in 3 GAGE programs, which carry 4 distinct definitions of it. The wording above is taught in Certified AI Data Governance Professional (CADGP).
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 documented, named exception to a hard-block rule, approved by an authorized person and logged alongside the rule violation it excuses, allowing a genuine, legitimate business event to proceed without disabling the underlying rule for all future cases.
A reviewer's action of changing an agent's recommended outcome at a checkpoint. An override that is not captured and aggregated into a reportable pattern is invisible to organizational governance even though it occurred.
A decision to proceed despite a gate finding, made by a named executive, recorded with a remediation action and a review date, and counted in reporting. The record, rather than the refusal, is the control.
The bypassing of a control by someone with the standing to do so. Distinct from an absent control and needing a different response: an approver, a record, an expiry and a report rather than a redesign.
Where it is taught
The exact lessons this term appears in. The first module of every program is free with a free account.
- Approvals in High-Stakes Hiring · Meaningful Human Accountability, Certified Agentic AI Governance Professional (CAAGP)
- The quality gate: what may enter the warehouse and what gets quarantined, enforced in the pipeline · Quality as Physics, Certified AI Data Governance Professional (CADGP)
- TPRM program design and ownership · Third-Party, Supply-Chain, and Concentration Risk, Certified Enterprise Governance, Risk and Compliance Professional (CEGP)
- Fraud schemes · Financial Risk, Fraud, and Financial Crime, Certified Enterprise Governance, Risk and Compliance Professional (CEGP)
Where it shows up at work
A definition is where Override 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.
Defines who reviews AI outputs, what they check, when they can override, and how to keep review from becoming a rubber stamp.
One lesson on this page teach it as a primary outcome.
Profiles data, sets rules and thresholds, monitors, assigns issues to owners, and knows when data is not fit to train or run a model.
One lesson on this page teach it as a primary outcome.
Knows the rules on automated employment decisions, bias audits and notices, and treats hiring AI as the highest-risk use case it is.
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.
- Ethical AI Specialistneeds working knowledge · 5 open postings this week
- AI Product Manager, responsible product editionneeds it at depth · 3 open postings this week
- AI Model Validatorneeds working knowledge
- Chief Data Officer, data leadership editionneeds it at depth
- VP of AI Governance and Ethicsneeds working knowledge
- Autonomous Systems Governance Lead, robotics and physical AI editionneeds 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: EU AI Act Article 14; ISO/IEC 42001 Annex A; EU AI Act Article 10; ISO 8000.
One interview question about it
Design the human oversight for an AI system that approves refunds. What does the reviewer see, and what stops rubber-stamping?
Asked of candidates for human oversight design. 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.
- Data analysis, stewardship and business intelligence carries it as work you can show: Quality rules and profiling results are your artifacts.
- A data science, statistics or analytics degree carries it as a claim to back up: Data quality rules are familiar; monitoring them in production is new.
- Human resources and people operations carries it as a claim to back up: Fair-hiring review and disparate-impact awareness are HR discipline.
Terms it appears with
Not an alphabetical neighbourhood: these are the terms taught in the same lessons, ranked by how often they appear together.