Deployer (EU AI Act)
Any natural or legal person, public authority, agency, or other body that uses an AI system under its authority, except where the system is used in the course of a personal non-professional activity (Article 3(4)). Deployers of high-risk AI systems have distinct obligations under Article 26, including appropriate technical and organizational measures, human oversight assignment, and logging. These obligations cannot be transferred to the vendor by contract, though the vendor contract must supply what the deployer needs to discharge them.
Defined in 2 GAGE programs, which carry 3 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.
Any natural or legal person, public authority, agency, or other body that uses an AI system under its authority, except where the system is used in the course of a personal non-professional activity (Article 3(4)). Deployers of high-risk AI systems have distinct obligations under Article 26, including appropriate technical and organizational measures, human oversight assignment, and logging. These obligations cannot be transferred to the vendor by contract, though the vendor contract must supply what the deployer needs to discharge them.
An organization using a high-risk AI system under its own authority, distinct from the provider that built it, carrying its own independent, immediate duty to inform the provider and the relevant authority upon becoming aware of a serious incident.
The party that uses an AI system under its authority; it carries lighter obligations than a provider but can become a provider under Article 25.
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)
- 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 Deployer (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 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.
Tiers vendors by use and impact, requests evidence instead of promises, tests in the customer's context, and plans monitoring and exit.
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 Vendor Risk Managerneeds it at depth
- Third-Party Cyber Risk Managerneeds it at depth
- Third-Party AI Risk Analystneeds it at depth
- AI Regulatory Counselneeds it at depth · 14 open postings this week
- Chief Information Security Officer, AI security focusneeds it at depth
- Chief Risk Officer, AI risk 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: GDPR Article 28; EU AI Act value-chain obligations; EU AI Act Article 73; ISO/IEC 42001 Annex A incident controls.
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.