Corrective action
A documented response to a monitoring finding that has met an escalation trigger in the PMM plan. Corrective actions range from operational adjustments (updating instructions for use or deployer configurations) through technical modifications (retraining or recalibrating the AI system) to regulatory actions (Article 73 serious-incident reporting or Article 43 re-assessment). All corrective actions must be logged in the monitoring system's records and, where they affect the risk profile or intended purpose of the system, must feed the Article 9 risk management update.
Defined in 5 GAGE programs, which carry 8 distinct definitions of it. The wording above is taught in EU AI Act Implementation Expert.
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 response to a monitoring finding that has met an escalation trigger in the PMM plan. Corrective actions range from operational adjustments (updating instructions for use or deployer configurations) through technical modifications (retraining or recalibrating the AI system) to regulatory actions (Article 73 serious-incident reporting or Article 43 re-assessment). All corrective actions must be logged in the monitoring system's records and, where they affect the risk profile or intended purpose of the system, must feed the Article 9 risk management update.
A specific, actionable change made in response to a validated root cause or contributing factor, intended to prevent the failure, or the class of failure it belongs to, from recurring. A corrective action that addresses only the symptom originally observed, rather than a validated cause, is a mitigation, not a fix.
A fix committed in the review, in strict form: a specific change, a named owner, a due date, and a verification of how you will know it worked. Divided into symptom fixes (stop this exact incident) and class fixes (stop the family). An action missing owner, date, or verification is a wish, a someday, or a hope.
An agency's voluntary or GAO-directed step to fix a flawed solicitation or evaluation, often reopening some or all of a competition, without waiting for or instead of a final protest decision.
Work committed to address the cause of an issue so that the condition does not recur. A child object: it cannot exist without a parent.
Where it is taught
The exact lessons this term appears in. The first module of every program is free with a free account.
- The post-incident review: what you missed, written without blaming the tool · Shipping AI and Surviving the Incident, Certified AI Governance Professional (CAIGP)
- ISO/IEC 42001: standing up an AI management system without drowning in it · The World's Rulebooks, Certified AI Governance Professional (CAIGP)
- Procurement Navigation: RFI and RFP Influence Points, Evaluation Criteria, Protests · Procurement and Government Decision Architecture, The AI Lobbyist: Certified AI Policy Strategist
- The taxonomy · Findings, Issues, Root Cause, and Remediation, Certified Enterprise Governance, Risk and Compliance Professional (CEGP)
- Quality Management System (Article 17) · High-Risk AI Requirements: The Technical File, EU AI Act Implementation Expert
- Post-Market Monitoring (Article 72) · Post-Market Monitoring and Enforcement, EU AI Act Implementation Expert
- Serious Incident Reporting (Article 73) · Post-Market Monitoring and Enforcement, EU AI Act Implementation Expert
- Root cause analysis that finds the real cause · Failure Analysis, Learning From How Robots Break, Engineering Judgment and Professional Formation
Where it shows up at work
A definition is where Corrective action 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.
Builds and audits an AI management system: context, leadership, planning, support, operation, performance evaluation, improvement and the Annex A controls.
3 lessons on this page teach it as a primary outcome.
Sets performance metrics, thresholds and review triggers after launch, and treats a model change, a vendor update or new data as a reason to re-check.
One lesson on this page teach it as a primary outcome.
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.
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 Auditorneeds working knowledge · 9 open postings this week
- Senior AI Compliance Analystneeds working knowledge
- AI Product Manager, responsible product editionneeds it at depth · 3 open postings this week
- Model Risk Managerneeds it at depth
- AI Compliance Specialistneeds working knowledge · 1 open posting this week
- AI Governance Managerneeds 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: ISO/IEC 42001:2023; ISO/IEC 23894; ISO/IEC 42005; EU AI Act Article 72.
One interview question about it
What does an ISO/IEC 42001 management system add that a set of policies does not, and how would you prepare for certification?
Asked of candidates for iso/iec 42001 management systems. 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.
- Model risk, credit risk and quantitative analysis carries it as a claim to back up: Performance monitoring thresholds 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.