Agent · ai-act-2024-1689-17

AI Act artikel 17: Quality management system

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. Providers of high-risk AI systems shall put a quality management system in place that ensures compliance with this Regulation. That system shall be documented in a systematic and orderly manner in the form of written policies, procedures and instructions, and shall include at least the following aspects:

   Paragraph 1

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

   Paragraph 2 applies

   (a)

   Paragraph 2

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

   Paragraph 3 applies

   a strategy for regulatory compliance, including compliance with conformity assessment procedures and procedures for the management of modifications to the high-risk AI system;

   Paragraph 3

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

   Paragraph 4 applies

   (b)

   Paragraph 4

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

   Paragraph 5 applies

   techniques, procedures and systematic actions to be used for the design, design control and design verification of the high-risk AI system;

   Paragraph 5

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

   Paragraph 6 applies

   (c)

   Paragraph 6

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

   Paragraph 7 applies

   techniques, procedures and systematic actions to be used for the development, quality control and quality assurance of the high-risk AI system;

   Paragraph 7

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

   Paragraph 8 applies

   (d)

   Paragraph 8

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

   Paragraph 9 applies

   examination, test and validation procedures to be carried out before, during and after the development of the high-risk AI system, and the frequency with which they have to be carried out;

   Paragraph 9

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

    Paragraph 10 applies

    (e)

    Paragraph 10

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

    Paragraph 11 applies

    technical specifications, including standards, to be applied and, where the relevant harmonised standards are not applied in full or do not cover all of the relevant requirements set out in Section 2, the means to be used to ensure that the high-risk AI system complies with those requirements;

    Paragraph 11

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

    Paragraph 12 applies

    (f)

    Paragraph 12

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

    Paragraph 13 applies

    systems and procedures for data management, including data acquisition, data collection, data analysis, data labelling, data storage, data filtration, data mining, data aggregation, data retention and any other operation regarding the data that is performed before and for the purpose of the placing on the market or the putting into service of high-risk AI systems;

    Paragraph 13

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

    Paragraph 14 applies

    (g)

    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. Providers of high-risk AI systems shall put a quality management system in place that ensures compliance with this Regulation. That system shall be documented in a systematic and orderly manner in the form of written policies, procedures and instructions, and shall include at least the following aspects:
2. 2(a)
3. 3a strategy for regulatory compliance, including compliance with conformity assessment procedures and procedures for the management of modifications to the high-risk AI system;
4. 4(b)
5. 5techniques, procedures and systematic actions to be used for the design, design control and design verification of the high-risk AI system;
6. 6(c)
7. 7techniques, procedures and systematic actions to be used for the development, quality control and quality assurance of the high-risk AI system;
8. 8(d)
9. 9examination, test and validation procedures to be carried out before, during and after the development of the high-risk AI system, and the frequency with which they have to be carried out;
10. 10(e)
11. 11technical specifications, including standards, to be applied and, where the relevant harmonised standards are not applied in full or do not cover all of the relevant requirements set out in Section 2, the means to be used to ensure that the high-risk AI system complies with those requirements;
12. 12(f)
13. 13systems and procedures for data management, including data acquisition, data collection, data analysis, data labelling, data storage, data filtration, data mining, data aggregation, data retention and any other operation regarding the data that is performed before and for the purpose of the placing on the market or the putting into service of high-risk AI systems;
14. 14(g)

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

Citation: 32024R1689 art. 17, Quality management system. ExploreWorld Legal, https://legal.exploreworldai.com/agent/ai-act-2024-1689/artikel-17 (hämtad 2026-08-18, bevis sha256:4a2e4d559b72a70a, bygge legal-2026-08-25).