Performance of an AI system
The ability of an AI system to achieve its intended purpose. Performance is therefore measured against the intended purpose, not against a standalone technical score.
The official source remains authoritative. This is general information about obligations and not legal advice. See this object on the map
Address and citation
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- Identifier
praxikon:eu:ai-act:definition:definitie-prestaties-ai-systeem- Payload hash (sha256)
7d5ba2214f5fc1d09014b5705fdf602a7d9569bfb5ecc37b8a9edb76ea2dcf91
Citation line
Praxikon, "Performance of an AI system", praxikon:eu:ai-act:definition:definitie-prestaties-ai-systeem@1.0.0, dataset praxikon:sys:registry:dataset:ai-act-implementation-graph 2.1.0 (schema 1.4.0), effective_at 2026-08-08T00:00:00.000Z, known_at 2026-08-14T00:00:00.000Z, sha256 7d5ba2214f5fc1d09014b5705fdf602a7d9569bfb5ecc37b8a9edb76ea2dcf91- Version
- 1.0.0
- Legal time (effective_at)
- 8 August 2026
- Knowledge time (known_at)
- 8 August 2026
- Closed on
- Not closed
- Application date
- 1 August 2024
- Topics
- definitions
Review status: Placed against the official source (8 August 2026). Next check due by 4 February 2027. The check date is the knowledge date of this version; no later recheck has been recorded.
What this object links to
Every relation appears below as a path: from the source with its locator, through the conditions and exceptions of the object carrying the relation, to the consequence. A locator belongs to a statement in the data and not to a relation, so the source is the source anchor of the carrying object.
What this object is about
2 of 2 shown
The object is about this role. Undifferentiated: it does not follow that the duty rests on this role.
Source
Official fact on this object, with its locator.
EU Artificial Intelligence Act 2024/1689
Locator: Article 3(18)
praxikon:eu:ai-act:source:reg-eu-2024-1689
Open official source
Via
No condition or exception recorded on this object.
Consequence
ActorDeployer
praxikon:eu:ai-act:actor:deployer
praxikon:eu:ai-act:actor:provider
What this object states
Official fact
Attributable to a named primary source, with a locator. Where they differ, the official source prevails.
Article 3(18) defines performance of an AI system as the ability of an AI system to achieve its intended purpose.
- Locator: Article 3(18)praxikon:eu:ai-act:source:reg-eu-2024-1689Open official source
Our interpretation
Our own reading. It can change without the law changing, and it is not the position of a supervisory authority.
The definition ties performance firmly to the intended purpose in point 12. An accuracy of 94 percent is therefore no answer to whether the system performs, as long as it is not established what it is meant for and for which group of people that score holds. A model that scores well on average but performs structurally worse for a subgroup does not achieve the intended purpose for that group. That is exactly what Article 15 on accuracy and robustness and Article 10 on data quality target.
- Locator: Article 3(18)praxikon:eu:ai-act:source:reg-eu-2024-1689Open official source
Recommended step
A practical step we consider appropriate. Not an obligation following from the Regulation.
For each AI system, record which performance metrics you use, which threshold is acceptable for the intended purpose, and how those metrics break down per relevant subgroup. Repeat the measurement periodically and retain the results, so you can demonstrate performance drift before a supervisory authority asks.
- Locator: Article 3(18)praxikon:eu:ai-act:source:reg-eu-2024-1689Open official source
When this applies
No condition recorded on this object.
When this does not apply
No exception recorded on this object.
Referring to this object
Citation block
Copy this reference into your advice, article or file. The identifier, the version and the hash keep the statement findable later, even once the dataset has moved on.
Reference
Praxikon, "Performance of an AI system", praxikon:eu:ai-act:definition:definitie-prestaties-ai-systeem@1.0.0, dataset praxikon:sys:registry:dataset:ai-act-implementation-graph 2.1.0 (schema 1.4.0), effective_at 2026-08-08T00:00:00.000Z, known_at 2026-08-08T00:00:00.000Z, sha256 7d5ba2214f5fc1d09014b5705fdf602a7d9569bfb5ecc37b8a9edb76ea2dcf91, https://www.praxikon.com/en/verkenner/definition/definitie-prestaties-ai-systeem (https://www.praxikon.com/api/v1/entities?id=praxikon%3Aeu%3Aai-act%3Adefinition%3Adefinitie-prestaties-ai-systeem&effective_at=2026-08-08&known_at=2026-08-08&lang=en, accessed 2026-08-23)
Short form
praxikon:eu:ai-act:definition:definitie-prestaties-ai-systeem@1.0.0 (sha256 7d5ba221)
BibTeX
@misc{praxikon-eu-ai-act-definition-definitie-prestaties-ai-systeem-1-0-0,
author = {{Praxikon}},
title = {Performance of an AI system},
year = {2026},
version = {1.0.0},
number = {praxikon:eu:ai-act:definition:definitie-prestaties-ai-systeem},
howpublished = {AI Act Change \& Evidence Graph, dataset 2.1.0, schema 1.4.0},
note = {effective_at 2026-08-08T00:00:00.000Z; known_at 2026-08-08T00:00:00.000Z; sha256 7d5ba2214f5fc1d09014b5705fdf602a7d9569bfb5ecc37b8a9edb76ea2dcf91},
url = {https://www.praxikon.com/en/verkenner/definition/definitie-prestaties-ai-systeem},
urldate = {2026-08-23},
language = {en}
}CSL JSON
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}
]How to verify a reference later is set out in the methodology. Terms
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