ExampleEditorialv1.0.0

Police using AI in investigations: context sets how deep the training goes

A police force uses AI to search large volumes of investigation files and surface connections a detective would otherwise miss. The outputs feed into the choice of which suspect is pursued further and end up in documents that enter the criminal process. The question is whether one and the same basic instruction is enough for the analyst operating the model and for the detective who acts on its output.

The official source remains authoritative. This is general information about obligations and not legal advice. See this object on the map

Address and citation

This object has an address of its own that is never renamed or reused. Store the identifier in your own file, not the title or the link.

Identifier: praxikon:eu:ai-act:example:example-artikel-4-politie-opsporingsanalyse
Payload hash (sha256): 60ac6751cd1959be17d92f129f223cca3fae064e4dfa4eed6759a8d2f88b5297

Citation line

Praxikon, "Police using AI in investigations: context sets how deep the training goes", praxikon:eu:ai-act:example:example-artikel-4-politie-opsporingsanalyse@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 60ac6751cd1959be17d92f129f223cca3fae064e4dfa4eed6759a8d2f88b5297

Version: 1.0.0
Legal time (effective_at): 1 August 2024
Knowledge time (known_at): 8 August 2026
Closed on: Not closed
Topics: examples

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.

The obligation this hangs off

1 of 1 shown

The object belongs to this obligation. The source line it hangs off sits there.

Source
Official fact on this object, with its locator.
- EU Artificial Intelligence Act 2024/1689
  Locator: Article 4(1)
  praxikon:eu:ai-act:source:reg-eu-2024-1689
  Open official source
Via
No condition or exception recorded on this object.
Consequence
- ObligationArticle 4: AI literacy
  praxikon:eu:ai-act:obligation:article-4-ai-literacy

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 4(1)
  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
- ActorBody governed by public law
  praxikon:eu:ai-act:actor:public-law-body

What this object states

Official fact

Attributable to a named primary source, with a locator. Where they differ, the official source prevails.

Article 4(1) requires providers and deployers of AI systems to take measures supporting the development of AI literacy of their staff and other persons dealing with the operation and use of AI systems on their behalf. The provision prescribes that they take into account technical knowledge, experience, education and training and the context the AI systems are to be used in, as well as the persons or groups of persons on whom the AI systems are to be used. It also states that this obligation does not require any specific level of AI literacy of any individual to be guaranteed.
- Locator: Article 4(1)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.

Article 4 requires you to weigh the context of use and the people the system is applied to, and in law enforcement both factors run high on our reading. Whether a general introduction to what AI can do is then enough for someone carrying an output into a file that affects a person's position as a suspect, we doubt, but the provision expressly names no level you must guarantee, so that floor is yours to justify. We would record for each role what someone must be able to recognise, for instance that a discovered connection is not yet evidence, and revisit that choice periodically.
- Locator: Article 4(1)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, "Police using AI in investigations: context sets how deep the training goes",
praxikon:eu:ai-act:example:example-artikel-4-politie-opsporingsanalyse@1.0.0,
dataset praxikon:sys:registry:dataset:ai-act-implementation-graph 2.1.0 (schema 1.4.0),
effective_at 2024-08-01T00:00:00.000Z, known_at 2026-08-08T00:00:00.000Z,
sha256 60ac6751cd1959be17d92f129f223cca3fae064e4dfa4eed6759a8d2f88b5297,
https://www.praxikon.com/en/verkenner/example/example-artikel-4-politie-opsporingsanalyse
(https://www.praxikon.com/api/v1/entities?id=praxikon%3Aeu%3Aai-act%3Aexample%3Aexample-artikel-4-politie-opsporingsanalyse&effective_at=2024-08-01&known_at=2026-08-08&lang=en, accessed 2026-08-25)

Short form

praxikon:eu:ai-act:example:example-artikel-4-politie-opsporingsanalyse@1.0.0 (sha256 60ac6751)

BibTeX

@misc{praxikon-eu-ai-act-example-example-artikel-4-politie-opsporingsanalyse-1-0-0,
  author       = {{Praxikon}},
  title        = {Police using AI in investigations: context sets how deep the training goes},
  year         = {2026},
  version      = {1.0.0},
  number       = {praxikon:eu:ai-act:example:example-artikel-4-politie-opsporingsanalyse},
  howpublished = {AI Act Change \& Evidence Graph, dataset 2.1.0, schema 1.4.0},
  note         = {effective_at 2024-08-01T00:00:00.000Z; known_at 2026-08-08T00:00:00.000Z; sha256 60ac6751cd1959be17d92f129f223cca3fae064e4dfa4eed6759a8d2f88b5297},
  url          = {https://www.praxikon.com/en/verkenner/example/example-artikel-4-politie-opsporingsanalyse},
  urldate      = {2026-08-25},
  language     = {en}
}

CSL JSON

[
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    "id": "praxikon:eu:ai-act:example:example-artikel-4-politie-opsporingsanalyse@1.0.0",
    "type": "dataset",
    "title": "Police using AI in investigations: context sets how deep the training goes",
    "container-title": "AI Act Change & Evidence Graph",
    "publisher": "Praxikon",
    "version": "1.0.0",
    "number": "praxikon:eu:ai-act:example:example-artikel-4-politie-opsporingsanalyse",
    "URL": "https://www.praxikon.com/en/verkenner/example/example-artikel-4-politie-opsporingsanalyse",
    "language": "en",
    "issued": {
      "date-parts": [
        [
          2026,
          8,
          8
        ]
      ]
    },
    "accessed": {
      "date-parts": [
        [
          2026,
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        ]
      ]
    },
    "note": "dataset praxikon:sys:registry:dataset:ai-act-implementation-graph 2.1.0; schema 1.4.0; effective_at 2024-08-01T00:00:00.000Z; known_at 2026-08-08T00:00:00.000Z; sha256 60ac6751cd1959be17d92f129f223cca3fae064e4dfa4eed6759a8d2f88b5297; retrieved_from https://www.praxikon.com/api/v1/entities?id=praxikon%3Aeu%3Aai-act%3Aexample%3Aexample-artikel-4-politie-opsporingsanalyse&effective_at=2024-08-01&known_at=2026-08-08&lang=en; licence https://www.praxikon.com/nl/legal/terms"
  }
]

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