Provider (EU AI Act)
The natural or legal person, public authority, agency, or other body that develops an AI system or a general-purpose AI model with a view to placing it on the market or putting it into service under its own name or trademark (Article 3(3)). Provider obligations for high-risk AI systems are set out in Article 16. Under Article 25(1), a distributor, importer, deployer, or other third party can become a provider by rebranding, substantially modifying, or changing the intended purpose of an AI system.
Defined in 3 GAGE programs, which carry 4 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 natural or legal person, public authority, agency, or other body that develops an AI system or a general-purpose AI model with a view to placing it on the market or putting it into service under its own name or trademark (Article 3(3)). Provider obligations for high-risk AI systems are set out in Article 16. Under Article 25(1), a distributor, importer, deployer, or other third party can become a provider by rebranding, substantially modifying, or changing the intended purpose of an AI system.
The party that develops an AI system, or has one developed, and puts it on the market under its own name, or substantially modifies one. Providers carry the build-side duties (documentation, testing, conformity).
The organization that develops an AI system, or has one developed, and places it on the market or puts it into service, carrying the primary Article 73 reporting duty for a high-risk system.
The party that develops an AI system or places it on the market under its own name or trademark; it carries the heaviest obligations under the Act.
Where it is taught
The exact lessons this term appears in. The first module of every program is free with a free account.
- The First 48 Hours of an AI Incident · Shipping AI and Surviving the Incident, Certified AI Governance Professional (CAIGP)
- Who owns the output: IP, training-data provenance, and the liability chain when AI work goes wrong · Evidence Engineering, Certified AI Governance Professional (CAIGP)
- Regulatory Compliance Navigator · Governance and Responsible AI, Certified AI Transformation Professional (CATP)
- Contractual Risk Allocation with AI Vendors · Regulatory Interplay and Liability, EU AI Act Implementation Expert
Where it shows up at work
A definition is where Provider (EU AI Act) 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.
Turns controls into enforceable obligations: data use, change notice, audit rights, incident duties, subcontractors, IP, exit and deletion.
One lesson 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.
One lesson on this page teach it as a primary outcome.
Classifies AI incidents by severity, runs containment, preserves evidence, manages notification, and closes the loop with lessons learned.
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
- AI Vendor Risk Managerneeds it at depth
- Third-Party Cyber Risk Managerneeds it at depth
- Third-Party AI Risk Analystneeds working knowledge
- Senior AI Compliance Analystneeds it at depth
- AI Compliance Managerneeds it at depth · 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: GDPR Article 28; EU AI Act value-chain obligations; Regulation (EU) 2024/1689; Regulation (EU) 2026/1744.
One interview question about it
Which contract terms would you insist on before a vendor's model touches customer data, and what happens when the vendor changes the model?
Asked of candidates for contract terms that allocate ai risk. 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.
- Legal and paralegal work carries it as work you can show: Contract terms are your product.
- A law degree (JD, LLB or LLM), no AI work yet carries it as a claim to back up: Contract terms that move risk are a first-year subject.
- Cybersecurity and IT carries it as work you can show: Incident playbooks and post-incident reviews are your artifacts.
Terms it appears with
Not an alphabetical neighbourhood: these are the terms taught in the same lessons, ranked by how often they appear together.