Intended use
The specific purposes and contexts for which a provider has validated and designed an AI system, as specified in the Article 13 instructions for use and the Article 11 technical documentation. Deployment outside the intended use shifts liability toward the deployer under Article 25 of the AI Act and reduces the provider's PLD exposure.
Defined in 2 GAGE programs, which carry 5 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 specific purposes and contexts for which a provider has validated and designed an AI system, as specified in the Article 13 instructions for use and the Article 11 technical documentation. Deployment outside the intended use shifts liability toward the deployer under Article 25 of the AI Act and reduces the provider's PLD exposure.
The specific, testable statement of what a model or system is for, who its users are, and in what setting. Narrow enough to evaluate and to write an out-of-scope statement against; a broad intended-use statement ("general classification") is a warning sign because nothing can be validated or excluded against it.
A short statement of what the model is for, included in the failure account so a reader can distinguish an in-scope failure (a real problem) from an out-of-scope one (a use the system was never meant to support).
What an organization now wants to do with data it already holds. Consent archaeology is the comparison of the intended use against the collection purpose.
The section of a card stating the uses the vendor validated the model or system for. The bound your actual use must be checked against.
Where it is taught
The exact lessons this term appears in. The first module of every program is free with a free account.
- The license to govern: explaining to a skeptic exactly how your model fails · Build Before You Govern, Certified AI Governance Professional (CAIGP)
- Consent archaeology: what this data was collected for versus what you want to do · Data Reality, Certified AI Governance Professional (CAIGP)
- Model cards and system cards for your own systems, written so an outsider could act on them · Evidence Engineering, Certified AI Governance Professional (CAIGP)
- Reading the primary source: a model card, a system card, and what they do not say · Staying Current: The Frontier Discipline, Certified AI Governance Professional (CAIGP)
- The AI Liability Landscape: Proving Fault When AI Causes Harm · Regulatory Interplay and Liability, EU AI Act Implementation Expert
Where it shows up at work
A definition is where Intended use 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.
Reads bills and rules like a practitioner, compares options with costs and unintended effects, and writes briefs a decision-maker can act on.
2 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.
One lesson on this page teach it as a primary outcome.
Recognizes hallucination, drift, skew, brittleness and biased outcomes, and knows how each one enters a system.
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 Policy Analystneeds it at depth · 7 open postings this week
- AI Regulatory Counselneeds it at depth · 14 open postings this week
- Senior AI Compliance Analystneeds it at depth
- AI Compliance Managerneeds it at depth · 2 open postings this week
- AI Compliance Specialistneeds working knowledge · 1 open posting this week
- AI Governance Analystneeds working knowledge · 3 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; NIST AI RMF MEASURE 2; ISO/IEC 42001.
One interview question about it
Give me the one-page version of a complex AI policy question, written for a decision-maker with ten minutes.
Asked of candidates for policy analysis and decision-ready writing. 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: Memos, briefs and drafted terms are your record.
- Policy, legislative and government affairs staff carries it as work you can show: Briefs, memos and comparisons are your portfolio.
- Recent graduate in law, policy, business or data carries it as a claim to back up: Research and analytical writing from your degree.
Terms it appears with
Not an alphabetical neighbourhood: these are the terms taught in the same lessons, ranked by how often they appear together.