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Agent · ai-act-2024-1689-10

AI Act artikel 10: Data and data governance

Strukturelt tre: artikkelens egne punkter, ordrett.

CELEX 32024R1689 · 2026-08-18 · Vekt 88 · minimal-risk

PremiumHand written or high weight rule tree. Metered per call at the edge once metering is switched on, at the same address and with the same answer as today.

AI ActOffisiell kilde

Hva siden er
Agent, AI Act artikel 10
Lest mot offisiell kilde
2026-08-18Fersk
Ansvarlig utgiver
ExploreWorld Legal, redaksjonenAnsvarsposisjon

Jurisdiksjon

Samme agent, lest med ett lands øyne.

Inndata

  • in_scopeThe article applies to the situationboolean
  • punktParagraph of the articleenum (1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 | 13 | 14)

Regeltre

  1. Hvis: alla(in_scope = true, punkt = 1)

    Paragraph 1 applies

    1. High-risk AI systems which make use of techniques involving the training of AI models with data shall be developed on the basis of training, validation and testing data sets that meet the quality criteria referred to in paragraphs 2 to 5 whenever such data sets are used.

    Punkt 1

  2. Hvis: alla(in_scope = true, punkt = 2)

    Paragraph 2 applies

    2. Training, validation and testing data sets shall be subject to data governance and management practices appropriate for the intended purpose of the high-risk AI system. Those practices shall concern in particular:

    Punkt 2

  3. Hvis: alla(in_scope = true, punkt = 3)

    Paragraph 3 applies

    (a)

    Punkt 3

  4. Hvis: alla(in_scope = true, punkt = 4)

    Paragraph 4 applies

    the relevant design choices;

    Punkt 4

  5. Hvis: alla(in_scope = true, punkt = 5)

    Paragraph 5 applies

    (b)

    Punkt 5

  6. Hvis: alla(in_scope = true, punkt = 6)

    Paragraph 6 applies

    data collection processes and the origin of data, and in the case of personal data, the original purpose of the data collection;

    Punkt 6

  7. Hvis: alla(in_scope = true, punkt = 7)

    Paragraph 7 applies

    (c)

    Punkt 7

  8. Hvis: alla(in_scope = true, punkt = 8)

    Paragraph 8 applies

    relevant data-preparation processing operations, such as annotation, labelling, cleaning, updating, enrichment and aggregation;

    Punkt 8

  9. Hvis: alla(in_scope = true, punkt = 9)

    Paragraph 9 applies

    (d)

    Punkt 9

  10. Hvis: alla(in_scope = true, punkt = 10)

    Paragraph 10 applies

    the formulation of assumptions, in particular with respect to the information that the data are supposed to measure and represent;

    Punkt 10

  11. Hvis: alla(in_scope = true, punkt = 11)

    Paragraph 11 applies

    (e)

    Punkt 11

  12. Hvis: alla(in_scope = true, punkt = 12)

    Paragraph 12 applies

    an assessment of the availability, quantity and suitability of the data sets that are needed;

    Punkt 12

  13. Hvis: alla(in_scope = true, punkt = 13)

    Paragraph 13 applies

    (f)

    Punkt 13

  14. Hvis: alla(in_scope = true, punkt = 14)

    Paragraph 14 applies

    examination in view of possible biases that are likely to affect the health and safety of persons, have a negative impact on fundamental rights or lead to discrimination prohibited under Union law, especially where data outputs influence inputs for future operations;

    Punkt 14

Hvis ingen regel treffer: The article is not stated to apply, or no paragraph is selected. The agent abstains rather than guesses.

Artikkelteksten som ble lest

  1. 11. High-risk AI systems which make use of techniques involving the training of AI models with data shall be developed on the basis of training, validation and testing data sets that meet the quality criteria referred to in paragraphs 2 to 5 whenever such data sets are used.
  2. 22. Training, validation and testing data sets shall be subject to data governance and management practices appropriate for the intended purpose of the high-risk AI system. Those practices shall concern in particular:
  3. 3(a)
  4. 4the relevant design choices;
  5. 5(b)
  6. 6data collection processes and the origin of data, and in the case of personal data, the original purpose of the data collection;
  7. 7(c)
  8. 8relevant data-preparation processing operations, such as annotation, labelling, cleaning, updating, enrichment and aggregation;
  9. 9(d)
  10. 10the formulation of assumptions, in particular with respect to the information that the data are supposed to measure and represent;
  11. 11(e)
  12. 12an assessment of the availability, quantity and suitability of the data sets that are needed;
  13. 13(f)
  14. 14examination in view of possible biases that are likely to affect the health and safety of persons, have a negative impact on fundamental rights or lead to discrimination prohibited under Union law, especially where data outputs influence inputs for future operations;

Opphav

treatyTFEU art. 288 (förordning)
act32024R1689
chapterIII. High-risk AI systems
article10
paragraphs14
jurisdictionEuropean Union (EU)
supervisorEDPB — European Data Protection Board
national

Grensesnitt

callhttps://legal.exploreworldai.com/api/public/v1/agents/ai-act-2024-1689-10/run
methodGET
outputmatched, outcome, trace, missing, hash
Kvote60 anrop per minut och adress, utan nyckel
stabilityRegelträdet versioneras. En ändring byter artefakthash, aldrig adress.

Hasher

textsha256:b820d03a77e535d9d2f7327cb1f7d31ce350ec48180e0a58f6690173a6fa2273
scriptsha256:92de0bafdeb30bec8a883557010cc1cf9d17e1eca45e69b3386cd13e442b400c
enginesha256:0a4bd50d21f8ec9be383fc091511008b76ad61909cbfb674eab56fe567fbd7a0
agentsha256:e1bda6dacbd8e26352ac8c2c058f2df736ba6ca88608c6f812e3dae5c28bb4e8
versionagent-engine-1+legal-2026-08-25 / e1bda6dacbd8e263

Artefakter

Ingen rådgivning. Deterministisk regeluppslagning. Ingen juridisk rådgivning, inget efterlevnadsbeslut, ingen bedömning av ett enskilt ärende.

Sitering: 32024R1689 art. 10, Data and data governance. ExploreWorld Legal, https://legal.exploreworldai.com/agent/ai-act-2024-1689/artikel-10 (hämtad 2026-08-18, bevis sha256:c113812feab8dfe8, bygge legal-2026-08-25).