ExampleGuidancev1.0.0

Facial recognition company builds a database from social media

A software company runs an automated image scraper across the internet to detect images containing human faces on social media, stores them with source URL, geolocation and sometimes names, and converts the facial features into mathematical representations against which an uploaded photo can be matched.

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-gezichtsdatabank-scrapen-sociale-media
Payload hash (sha256): 8497b54890fab6eedf211f9cebfe1715a0a0d59604e7035b5bedd049ba180874

Citation line

Praxikon, "Facial recognition company builds a database from social media", praxikon:eu:ai-act:example:example-gezichtsdatabank-scrapen-sociale-media@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 8497b54890fab6eedf211f9cebfe1715a0a0d59604e7035b5bedd049ba180874

Version: 1.0.0
Legal time (effective_at): 8 August 2026
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.
- Guidelines on prohibited AI practices, C(2025) 5052 final
  Locator: Commission Guidelines C(2025) 5052 final, 29.7.2025, worked examples under Article 5
  praxikon:eu:ai-act:source:commission-prohibited-practices-guidelines
  Open official source
Via
No condition or exception recorded on this object.
Consequence
- ObligationArticle 5: prohibited practices
  praxikon:eu:ai-act:obligation:article-5-prohibited-practices

What this object is about

1 of 1 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.
- Guidelines on prohibited AI practices, C(2025) 5052 final
  Locator: Commission Guidelines C(2025) 5052 final, 29.7.2025, worked examples under Article 5
  praxikon:eu:ai-act:source:commission-prohibited-practices-guidelines
  Open official source
Via
No condition or exception recorded on this object.
Consequence
- ActorProvider of an AI system
  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.

The Commission guidelines on prohibited AI practices treat this case as a worked example under Article 5. The document is non-binding: authoritative interpretation rests with the Court of Justice.
- Locator: Commission Guidelines C(2025) 5052 final, 29.7.2025, worked examples under Article 5praxikon:eu:ai-act:source:commission-prohibited-practices-guidelinesOpen official source

Our interpretation

Our own reading. It can change without the law changing, and it is not the position of a supervisory authority.

Images published publicly on social media do not amount to consent, and the decisive point is targeting: untargeted collection for a database capable of matching faces stays prohibited even when done step by step.
- Locator: Commission Guidelines C(2025) 5052 final, 29.7.2025, worked examples under Article 5praxikon:eu:ai-act:source:commission-prohibited-practices-guidelinesOpen 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, "Facial recognition company builds a database from social media",
praxikon:eu:ai-act:example:example-gezichtsdatabank-scrapen-sociale-media@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 8497b54890fab6eedf211f9cebfe1715a0a0d59604e7035b5bedd049ba180874,
https://www.praxikon.com/en/verkenner/example/example-gezichtsdatabank-scrapen-sociale-media
(https://www.praxikon.com/api/v1/entities?id=praxikon%3Aeu%3Aai-act%3Aexample%3Aexample-gezichtsdatabank-scrapen-sociale-media&effective_at=2026-08-08&known_at=2026-08-08&lang=en, accessed 2026-08-25)

Short form

praxikon:eu:ai-act:example:example-gezichtsdatabank-scrapen-sociale-media@1.0.0 (sha256 8497b548)

BibTeX

@misc{praxikon-eu-ai-act-example-example-gezichtsdatabank-scrapen-sociale-media-1-0-0,
  author       = {{Praxikon}},
  title        = {Facial recognition company builds a database from social media},
  year         = {2026},
  version      = {1.0.0},
  number       = {praxikon:eu:ai-act:example:example-gezichtsdatabank-scrapen-sociale-media},
  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 8497b54890fab6eedf211f9cebfe1715a0a0d59604e7035b5bedd049ba180874},
  url          = {https://www.praxikon.com/en/verkenner/example/example-gezichtsdatabank-scrapen-sociale-media},
  urldate      = {2026-08-25},
  language     = {en}
}

CSL JSON

[
  {
    "id": "praxikon:eu:ai-act:example:example-gezichtsdatabank-scrapen-sociale-media@1.0.0",
    "type": "dataset",
    "title": "Facial recognition company builds a database from social media",
    "container-title": "AI Act Change & Evidence Graph",
    "publisher": "Praxikon",
    "version": "1.0.0",
    "number": "praxikon:eu:ai-act:example:example-gezichtsdatabank-scrapen-sociale-media",
    "URL": "https://www.praxikon.com/en/verkenner/example/example-gezichtsdatabank-scrapen-sociale-media",
    "language": "en",
    "issued": {
      "date-parts": [
        [
          2026,
          8,
          8
        ]
      ]
    },
    "accessed": {
      "date-parts": [
        [
          2026,
          8,
          25
        ]
      ]
    },
    "note": "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 8497b54890fab6eedf211f9cebfe1715a0a0d59604e7035b5bedd049ba180874; retrieved_from https://www.praxikon.com/api/v1/entities?id=praxikon%3Aeu%3Aai-act%3Aexample%3Aexample-gezichtsdatabank-scrapen-sociale-media&effective_at=2026-08-08&known_at=2026-08-08&lang=en; licence https://www.praxikon.com/nl/legal/terms"
  }
]

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