Systemic-risk GPAI
The subset of the most capable general-purpose AI models that, when so designated, trigger heavier provider duties (state-of-the-art evaluation including adversarial testing, systemic-risk assessment and mitigation, serious-incident reporting, stronger cybersecurity). Free and open-source models get lighter GPAI obligations except when designated systemic-risk.
Defined in 3 GAGE programs, which carry 3 distinct definitions of it. The wording above is taught in Certified AI Practitioner: Workplace Foundations.
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 subset of the most capable general-purpose AI models that, when so designated, trigger heavier provider duties (state-of-the-art evaluation including adversarial testing, systemic-risk assessment and mitigation, serious-incident reporting, stronger cybersecurity). Free and open-source models get lighter GPAI obligations except when designated systemic-risk.
the heavier EU AI Act obligation tier (Article 55) for general-purpose AI models presumed high-impact because their cumulative training compute exceeds 10^25 floating-point operations (Article 51), or because the Commission separately designates them as systemic-risk under Annex XIII criteria.
A GPAI model that is presumed to have high-impact capabilities because it was trained using cumulative compute greater than 10^25 floating-point operations (Article 51(2)). Providers of systemic-risk GPAI models have additional obligations under Article 55 beyond Article 53.
Where it is taught
The exact lessons this term appears in. The first module of every program is free with a free account.
- Regulatory Landscapes: AI Laws and Governance Frameworks · Ethical and Responsible AI and Operational Governance, Certified AI Practitioner: Workplace Foundations
- The Big Four Frameworks: EU AI Act, NIST AI RMF, ISO/IEC 42001, OECD Principles · Foundations of AI for Lobbyists, The AI Lobbyist: Certified AI Policy Strategist
- Final Certification: Integrated Mastery Assessment · Capstone: The Compliance Portfolio, EU AI Act Implementation Expert
Where it shows up at work
A definition is where Systemic-risk GPAI 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.
Compares the EU AI Act, NIST AI RMF, ISO/IEC 42001 and sector rules by intent and control objective, and says where they do not overlap.
2 lessons on this page teach it as a primary outcome.
Decides what a person affected by an AI decision must be told, how an output can be explained, and how they can challenge it.
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 Compliance Managerneeds it at depth · 2 open postings this week
- Senior AI Compliance Analystneeds it at depth
- AI Compliance Specialistneeds working knowledge · 1 open posting this week
- AI Regulatory Counselneeds it at depth · 14 open postings this week
- Compliance Analystneeds working knowledge · 2 open postings this week
- Chief Compliance Officer, AI compliance 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: Regulation (EU) 2024/1689; Regulation (EU) 2026/1744; EU AI Act; NIST AI RMF.
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.
Terms it appears with
Not an alphabetical neighbourhood: these are the terms taught in the same lessons, ranked by how often they appear together.