Agent · ai-act-2024-1689-10

AI Act artikel 10: Data and data governance

Structural tree: the article's own paragraphs, verbatim.

CELEX 32024R1689 · 2026-08-18 · Weight 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 ActOfficial source

Inputs

• 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)

Rule tree

1. If: 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.

   Paragraph 1

2. If: 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:

   Paragraph 2

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

   Paragraph 3 applies

   (a)

   Paragraph 3

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

   Paragraph 4 applies

   the relevant design choices;

   Paragraph 4

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

   Paragraph 5 applies

   (b)

   Paragraph 5

6. If: 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;

   Paragraph 6

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

   Paragraph 7 applies

   (c)

   Paragraph 7

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

   Paragraph 8 applies

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

   Paragraph 8

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

   Paragraph 9 applies

   (d)

   Paragraph 9

10. If: 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;

    Paragraph 10

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

    Paragraph 11 applies

    (e)

    Paragraph 11

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

    Paragraph 12 applies

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

    Paragraph 12

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

    Paragraph 13 applies

    (f)

    Paragraph 13

14. If: 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;

    Paragraph 14

If no rule matches: The article is not stated to apply, or no paragraph is selected. The agent abstains rather than guesses.

The article text as read

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;

No legal advice. Deterministisk regeluppslagning. Ingen juridisk rådgivning, inget efterlevnadsbeslut, ingen bedömning av ett enskilt ärende.

Citation: 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).