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.
- Hva siden er
- Agent, AI Act artikel 10
- Lest mot offisiell kilde
- 2026-08-18Fersk
- Ansvarlig utgiver
- ExploreWorld Legal, redaksjonenAnsvarsposisjon
Kort svar
What does AI Act Article 10 require, and what outcome does the rule tree give?
AI Act Article 10 is tested here by a deterministic rule tree of 14 rules, built from the article's own conditions. The tree reads your facts and names the outcome that applies, starting with Paragraph 1 applies, carrying paragraph citation, content hash and read date 2026-08-18 against CELEX 32024R1689. The outcome is a machine classification, not a compliance decision.
AI Act Article 10Lest mot utgiveren 2026-08-18Offisiell tekst
- 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.
- 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:
- Paragraph 3 applies. (a)
En kildehenvisning, ikke juridisk rådgivning.
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
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
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
Hvis: alla(in_scope = true, punkt = 3)
Paragraph 3 applies
(a)
Punkt 3
Hvis: alla(in_scope = true, punkt = 4)
Paragraph 4 applies
the relevant design choices;
Punkt 4
Hvis: alla(in_scope = true, punkt = 5)
Paragraph 5 applies
(b)
Punkt 5
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
Hvis: alla(in_scope = true, punkt = 7)
Paragraph 7 applies
(c)
Punkt 7
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
Hvis: alla(in_scope = true, punkt = 9)
Paragraph 9 applies
(d)
Punkt 9
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
Hvis: alla(in_scope = true, punkt = 11)
Paragraph 11 applies
(e)
Punkt 11
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
Hvis: alla(in_scope = true, punkt = 13)
Paragraph 13 applies
(f)
Punkt 13
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
- 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.
- 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(a)
- 4the relevant design choices;
- 5(b)
- 6data collection processes and the origin of data, and in the case of personal data, the original purpose of the data collection;
- 7(c)
- 8relevant data-preparation processing operations, such as annotation, labelling, cleaning, updating, enrichment and aggregation;
- 9(d)
- 10the formulation of assumptions, in particular with respect to the information that the data are supposed to measure and represent;
- 11(e)
- 12an assessment of the availability, quantity and suitability of the data sets that are needed;
- 13(f)
- 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;
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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).