Profiling override
The rule in the last subparagraph of Article 6(3) that any AI system performing profiling of natural persons is always high-risk, regardless of the four filter conditions. Profiling carries the GDPR Article 4(4) definition the Act borrows: automated processing of personal data to evaluate or predict aspects of a person; it is why a "human in the loop" cannot lower the tier of a profiling system.
Defined in 2 GAGE programs, which carry 2 distinct definitions of it. The wording above is taught in Certified AI Governance Professional (CAIGP).
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.
The rule in the last subparagraph of Article 6(3) that any AI system performing profiling of natural persons is always high-risk, regardless of the four filter conditions. Profiling carries the GDPR Article 4(4) definition the Act borrows: automated processing of personal data to evaluate or predict aspects of a person; it is why a "human in the loop" cannot lower the tier of a profiling system.
The categorical rule in Article 6(3), final subparagraph, that makes an Annex III system always high-risk if it performs profiling of natural persons, regardless of the Article 6(3) filter conditions.
Where it is taught
The exact lessons this term appears in. The first module of every program is free with a free account.
- Risk classification: which of your organization's systems is high-risk and proving why · The EU AI Act: The Executive Map, Certified AI Governance Professional (CAIGP)
- High-Risk Classification: Annex III and Annex I · AI System Inventory and Classification, EU AI Act Implementation Expert
Where it shows up at work
A definition is where Profiling 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.
Classifies a system by role and risk tier, knows which obligations bind on which date after the Digital Omnibus, and what evidence conformity needs.
2 lessons 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.
2 lessons on this page teach it as a primary outcome.
Reviews purpose, data, affected people, accuracy, bias, security, oversight, vendors and law for a use case, scores likelihood and impact, and documents residual risk.
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 Regulatory Counselneeds it at depth · 14 open postings this week
- Senior AI Compliance Analystneeds it at depth
- AI Compliance Managerneeds it at depth · 2 open postings this week
- AI Compliance Specialistneeds working knowledge · 1 open posting this week
- AI Governance Managerneeds it at depth
- AI Governance Analystneeds working knowledge · 3 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: Regulation (EU) 2024/1689; Regulation (EU) 2026/1744; NYC Local Law 144; EEOC guidance.
One interview question about it
Classify a specific AI system under the EU AI Act and name the obligations that follow, including what applies now and what is deferred.
Asked of candidates for eu ai act obligations and timelines. 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.
- A law degree (JD, LLB or LLM), no AI work yet carries it as a claim to back up: The EU AI Act reads like the statutes you were trained on; the content is new, the method is not.
- Human resources and people operations carries it as a claim to back up: Fair-hiring review and disparate-impact awareness are HR discipline.
- Privacy and data protection carries it as work you can show: A DPIA is an impact assessment; the AI version adds accuracy, bias and oversight.
Terms it appears with
Not an alphabetical neighbourhood: these are the terms taught in the same lessons, ranked by how often they appear together.