Provider
Under Article 3(3), a natural or legal person that develops an AI system or GPAI model, or has it developed, and places it on the market or puts it into service under its own name or trademark. Providers carry the technical-file and conformity-assessment obligations; their instructions for use inform but do not discharge the deployer's FRIA obligation.
Defined in 4 GAGE programs, which carry 15 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.
Under Article 3(3), a natural or legal person that develops an AI system or GPAI model, or has it developed, and places it on the market or puts it into service under its own name or trademark. Providers carry the technical-file and conformity-assessment obligations; their instructions for use inform but do not discharge the deployer's FRIA obligation.
The actor that develops an AI system (or has it developed) and places it on the market or into service under its own name or trademark. Bears the core high-risk obligations, including conformity assessment, technical documentation, and registration, and makes the primary classification of the system it builds.
Under the EU AI Act, the organization that develops an AI system or has it developed and places it on the market or puts it into service under its own name, carrying the primary Article 10(2) documentation burden for how the system's training, validation, and testing data was governed.
The actor that builds and offers an AI model (such as OpenAI, Anthropic, Google, or Microsoft); accountable for the model's design, documented limits, and the promises in its terms.
The actor that develops an AI system and places it on the market or into service under its own name or trademark (Article 3(3)).
Where it is taught
The exact lessons this term appears in. The first module of every program is free with a free account.
- AI Output Ownership and Accountability Frameworks · Ethical and Responsible AI and Operational Governance, Certified AI Practitioner: Workplace Foundations
- EU AI Act Article 4 & US AI Workforce Mandates: Compliance Requirements · Ethical and Responsible AI and Operational Governance, Certified AI Practitioner: Workplace Foundations
- Article 10 executed: the EU AI Act's data governance duty for the system your organization ships · Lineage Under Audit, Certified AI Data Governance Professional (CADGP)
- Article 4 executed: the literacy program you must actually stand up, with evidence · The EU AI Act: The Executive Map, Certified AI Governance Professional (CAIGP)
- 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 conformity file: assembling the evidence for the system you shipped in Module 3 · The EU AI Act: The Executive Map, Certified AI Governance Professional (CAIGP)
- Answering a regulator's letter: responding with documents, not assurances, anchored to real enforcement patterns · 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)
- The DPIA and FRIA, run jointly: one assessment, two regimes, no duplicate work · Evidence Engineering, Certified AI Governance Professional (CAIGP)
- Role Definition: What an EU AI Act Expert Does (and Doesn't) · The EU AI Act Expert Role, EU AI Act Implementation Expert
Where it shows up at work
A definition is where Provider 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.
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.
3 lessons on this page teach it as a primary outcome.
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.
Designs role-based AI training that measures skill, not attendance, with approved-use guidance, office hours and communities of practice.
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.
- Senior AI Compliance Analystneeds it at depth
- AI Compliance Specialistneeds working knowledge · 1 open posting this week
- AI Governance Analystneeds working knowledge · 3 open postings this week
- Compliance Analystneeds working knowledge · 2 open postings this week
- AI Compliance Managerneeds it at depth · 2 open postings this week
- AI Governance Coordinatorneeds 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: EU AI Act Articles 11 and 12; ISO/IEC 42001 Clause 7.5; Regulation (EU) 2024/1689; Regulation (EU) 2026/1744.
One interview question about it
What evidence would you have ready before an auditor asks about an AI system, and how do you produce it as a byproduct of the work?
Asked of candidates for evidence collection and audit-ready documentation. 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.
- Compliance and regulatory affairs carries it as work you can show: Audit-ready documentation is what you produce.
- Internal audit and IT audit carries it as work you can show: Evidence evaluation is the profession.
- Project and program management carries it as a claim to back up: Decision logs and repositories 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.