ExampleGuidancev1.0.0

Machine learning that only speeds up an existing optimisation calculation

A grid operator uses a machine learning model to approximate parameters inside a classical optimisation calculation built on linear and logistic regression. The model changes nothing about the decision rules themselves, it only makes a long established calculation method faster and cheaper.

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-optimalisatie-versnellen-geen-ai-systeem
Payload hash (sha256): 338231316dc9f139ea48aad3d9b0406a1c7cc7bbf94c8a06ed9d69e4f722d3c1

Citation line

Praxikon, "Machine learning that only speeds up an existing optimisation calculation", praxikon:eu:ai-act:example:example-optimalisatie-versnellen-geen-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 338231316dc9f139ea48aad3d9b0406a1c7cc7bbf94c8a06ed9d69e4f722d3c1

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 the definition of an AI system, C(2025) 5053 final
  Locator: Commission Guidelines C(2025) 5053 final, 29.7.2025, borderline cases under the definition in Article 3(1)
  praxikon:eu:ai-act:source:commission-ai-system-definition-guidelines
  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.
- Guidelines on the definition of an AI system, C(2025) 5053 final
  Locator: Commission Guidelines C(2025) 5053 final, 29.7.2025, borderline cases under the definition in Article 3(1)
  praxikon:eu:ai-act:source:commission-ai-system-definition-guidelines
  Open official source
Via
No condition or exception recorded on this object.
Consequence
- ActorDeployer
  praxikon:eu:ai-act:actor:deployer
- 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 the definition of an AI system use this case to draw the line between software that does and does not fall under the regulation. The document is non-binding.
- Locator: Commission Guidelines C(2025) 5053 final, 29.7.2025, borderline cases under the definition in Article 3(1)praxikon:eu:ai-act:source:commission-ai-system-definition-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.

If your model only makes a long established calculation method faster and leaves the decision rules untouched, record both points, because they are what carries the conclusion that you fall outside the definition.
- Locator: Commission Guidelines C(2025) 5053 final, 29.7.2025, borderline cases under the definition in Article 3(1)praxikon:eu:ai-act:source:commission-ai-system-definition-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, "Machine learning that only speeds up an existing optimisation calculation",
praxikon:eu:ai-act:example:example-optimalisatie-versnellen-geen-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 338231316dc9f139ea48aad3d9b0406a1c7cc7bbf94c8a06ed9d69e4f722d3c1,
https://www.praxikon.com/en/verkenner/example/example-optimalisatie-versnellen-geen-ai-systeem
(https://www.praxikon.com/api/v1/entities?id=praxikon%3Aeu%3Aai-act%3Aexample%3Aexample-optimalisatie-versnellen-geen-ai-systeem&effective_at=2026-08-08&known_at=2026-08-08&lang=en, accessed 2026-08-25)

Short form

praxikon:eu:ai-act:example:example-optimalisatie-versnellen-geen-ai-systeem@1.0.0 (sha256 33823131)

BibTeX

@misc{praxikon-eu-ai-act-example-example-optimalisatie-versnellen-geen-ai-systeem-1-0-0,
  author       = {{Praxikon}},
  title        = {Machine learning that only speeds up an existing optimisation calculation},
  year         = {2026},
  version      = {1.0.0},
  number       = {praxikon:eu:ai-act:example:example-optimalisatie-versnellen-geen-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 338231316dc9f139ea48aad3d9b0406a1c7cc7bbf94c8a06ed9d69e4f722d3c1},
  url          = {https://www.praxikon.com/en/verkenner/example/example-optimalisatie-versnellen-geen-ai-systeem},
  urldate      = {2026-08-25},
  language     = {en}
}

CSL JSON

[
  {
    "id": "praxikon:eu:ai-act:example:example-optimalisatie-versnellen-geen-ai-systeem@1.0.0",
    "type": "dataset",
    "title": "Machine learning that only speeds up an existing optimisation calculation",
    "container-title": "AI Act Change & Evidence Graph",
    "publisher": "Praxikon",
    "version": "1.0.0",
    "number": "praxikon:eu:ai-act:example:example-optimalisatie-versnellen-geen-ai-systeem",
    "URL": "https://www.praxikon.com/en/verkenner/example/example-optimalisatie-versnellen-geen-ai-systeem",
    "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 338231316dc9f139ea48aad3d9b0406a1c7cc7bbf94c8a06ed9d69e4f722d3c1; retrieved_from https://www.praxikon.com/api/v1/entities?id=praxikon%3Aeu%3Aai-act%3Aexample%3Aexample-optimalisatie-versnellen-geen-ai-systeem&effective_at=2026-08-08&known_at=2026-08-08&lang=en; licence https://www.praxikon.com/nl/legal/terms"
  }
]

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