High-risk AI system
A system that makes or substantially influences a consequential decision about a person (credit, employment, health, insurance, safety, essential services). A defined legal category in the EU AI Act and in various US state laws, though the exact definition and the obligations attached vary by jurisdiction and shift over time (Colorado's SB 24-205 defined the category but was repealed in May 2026 before taking effect). This is the reason the register's risk-tier column has legal weight.
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.
A system that makes or substantially influences a consequential decision about a person (credit, employment, health, insurance, safety, essential services). A defined legal category in the EU AI Act and in various US state laws, though the exact definition and the obligations attached vary by jurisdiction and shift over time (Colorado's SB 24-205 defined the category but was repealed in May 2026 before taking effect). This is the reason the register's risk-tier column has legal weight.
A permitted system carrying the Act's full requirements because it can seriously affect health, safety, or fundamental rights. Defined by Article 6 through two doors: Article 6(1) (safety component of an Annex I product needing third-party conformity assessment) and Article 6(2) (a use in one of the eight Annex III areas).
A category defined under the EU AI Act (including sectors named in its Annex III, such as creditworthiness assessment) that triggers the Act's most demanding obligations, including Articles 14 and 15; whether a specific system falls into this category is a scoping question, not an assumption.
An AI system classified as high-risk under Article 6, through either the Annex I safety-component route (Article 6(1)) or the Annex III use-area route (Article 6(2)), and not excluded by Article 6(3). Carries the full Chapter III obligation stack.
Under the EU AI Act, a system in a named high-risk category (including hiring) that carries duties such as risk management, data governance, documentation, logging, human oversight, transparency, and conformity assessment. High-risk means heavily governed, not banned.
Where it is taught
The exact lessons this term appears in. The first module of every program is free with a free account.
- The World Beyond Singapore · The Law and the Regulators, Certified Agentic AI Governance Professional (CAAGP)
- 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 hiring-AI problem: bias audits, notices, and the law already watching hiring AI · The EU AI Act: The Executive Map, Certified AI Governance Professional (CAIGP)
- The agent audit trail: logging actions so you can reconstruct any decision it made · Agents Under Command, Certified AI Governance Professional (CAIGP)
- Building the Audit-Ready AI Program · Lab: Regulated Industries, Certified AI Transformation Professional (CATP)
- The Risk Pyramid and Key Principles · Act Foundations and Current Timeline, EU AI Act Implementation Expert
Where it shows up at work
A definition is where High-risk AI system 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.
3 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.
Collects, labels and preserves the evidence that a control operated, a decision was made, and a claim can be defended to an auditor or regulator.
2 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 Compliance Specialistneeds working knowledge · 1 open posting this week
- AI Compliance Managerneeds it at depth · 2 open postings this week
- AI Governance Analystneeds working knowledge · 3 open postings this week
- Compliance Analystneeds working knowledge · 2 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.
- Compliance and regulatory affairs carries it as work you can show: Audit-ready documentation is what you produce.
Terms it appears with
Not an alphabetical neighbourhood: these are the terms taught in the same lessons, ranked by how often they appear together.