Annex III
The list of standalone high-risk AI domains attached to Regulation (EU) 2024/1689, comprising eight areas: biometrics, critical infrastructure, education, employment, essential services and benefits, law enforcement, migration and asylum, and administration of justice and democratic processes. AI systems falling within an Annex III domain are presumed high-risk under Article 6(2), subject to the Article 6(3) filter.
Defined in 3 GAGE programs, which carry 10 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.
The list of standalone high-risk AI domains attached to Regulation (EU) 2024/1689, comprising eight areas: biometrics, critical infrastructure, education, employment, essential services and benefits, law enforcement, migration and asylum, and administration of justice and democratic processes. AI systems falling within an Annex III domain are presumed high-risk under Article 6(2), subject to the Article 6(3) filter.
The annex of the EU AI Act listing the categories of AI systems classified as high-risk, including (point 4) employment and worker management, (point 5(a)) access to essential public assistance benefits and services, (point 5(b)) creditworthiness evaluation and credit scoring, and (point 5(c)) risk assessment and pricing in life and health insurance, among others.
the EU AI Act's list of high-risk AI use categories (including employment, credit scoring, law enforcement, and education uses), the obligations for which were postponed by the Digital Omnibus to December 2, 2027.
The list of eight areas whose use cases make a system high-risk through Door 2: biometrics; critical infrastructure; education; employment and worker management; access to essential private and public services and benefits; law enforcement; migration, asylum, and border control; and administration of justice and democratic processes.
The list of high-risk use areas (including, for example, recruitment and worker management, creditworthiness, and certain public services) that drives high-risk classification under Article 6(2); a system used in an Annex III area is a candidate for the high-risk regime, subject to the Article 6 filter.
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)
- The DPIA and FRIA, run jointly: one assessment, two regimes, no duplicate work · Evidence Engineering, Certified AI Governance Professional (CAIGP)
- EU AI Act Operational Reality: The Timeline After the Digital Omnibus · AI Law in Practice: The Compliance-to-Persuasion Toolkit, The AI Lobbyist: Certified AI Policy Strategist
- Role Definition: What an EU AI Act Expert Does (and Doesn't) · The EU AI Act Expert Role, EU AI Act Implementation Expert
- The Risk Pyramid and Key Principles · Act Foundations and Current Timeline, EU AI Act Implementation Expert
- The Full Phased Implementation Timeline · Act Foundations and Current Timeline, EU AI Act Implementation Expert
- The Digital Omnibus: Conditional and Long-Stop Delays · Act Foundations and Current Timeline, EU AI Act Implementation Expert
- High-Risk Classification: Annex III and Annex I · AI System Inventory and Classification, EU AI Act Implementation Expert
- Annex III Deep Dive: The High-Risk Domains · AI System Inventory and Classification, EU AI Act Implementation Expert
- Assembling the Complete Compliance Dossier · Capstone: The Compliance Portfolio, EU AI Act Implementation Expert
Where it shows up at work
A definition is where Annex III 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.
5 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.
4 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.
3 lessons 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 Governance Managerneeds it at depth
- AI Governance Analystneeds working knowledge · 3 open postings this week
- Autonomous Systems Governance Lead, robotics and physical AI editionneeds working knowledge
- Chief Privacy Officer, AI privacy editionneeds it at depth
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; NIST AI RMF MAP and MEASURE; ISO/IEC 42005.
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.
- 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.
- 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.