AI Act Documents:

Article 10: Data and Data Governance

Comes into force 2 December 2027 (high-risk under Annex III) / 2 August 2028 (high-risk under Annex I), according to Article 113(c)
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 datatesting datameans data used for providing an independent evaluation of the AI systemAI systemmeans a machine-based system that is designed to operate with varying levels of autonomy and that may exhibit adaptiveness after deployment, and that, for explicit or implicit objectives, infers, from the input it receives, how to generate outputs such as predictions, content, recommendations, or decisions that can influence physical or virtual environmentsArticle 3(1) in order to confirm the expected performance of that system before its placing on the market or putting into serviceArticle 3(32) sets that meet the quality criteria referred to in paragraphs 2, 3 and 4 of this Article and in Article 4a(1) whenever such data sets are used.
2. Training, validation and testing datatesting datameans data used for providing an independent evaluation of the AI systemAI systemmeans a machine-based system that is designed to operate with varying levels of autonomy and that may exhibit adaptiveness after deployment, and that, for explicit or implicit objectives, infers, from the input it receives, how to generate outputs such as predictions, content, recommendations, or decisions that can influence physical or virtual environmentsArticle 3(1) in order to confirm the expected performance of that system before its placing on the market or putting into serviceArticle 3(32) sets shall be subjectsubjectfor the purpose of real-world testing, means a natural person who participates in testing in real-world conditionsArticle 3(58) to data governance and management practices appropriate for the intended purposeintended purposemeans the use for which an AI systemAI systemmeans a machine-based system that is designed to operate with varying levels of autonomy and that may exhibit adaptiveness after deployment, and that, for explicit or implicit objectives, infers, from the input it receives, how to generate outputs such as predictions, content, recommendations, or decisions that can influence physical or virtual environmentsArticle 3(1) is intended by the providerprovidermeans a natural or legal person, public authority, agency or other body that develops an AI system or a general-purpose AI model or that has an AI system or a general-purpose AI model developed and places it on the market or puts the AI system into service under its own name or trademark, whether for payment or free of chargeArticle 3(3), including the specific context and conditions of use, as specified in the information supplied by the providerprovidermeans a natural or legal person, public authority, agency or other body that develops an AI system or a general-purpose AI model or that has an AI system or a general-purpose AI model developed and places it on the market or puts the AI system into service under its own name or trademark, whether for payment or free of chargeArticle 3(3) in the instructions for use, promotional or sales materials and statements, as well as in the technical documentationArticle 3(12) of the high-risk AI systemAI systemmeans a machine-based system that is designed to operate with varying levels of autonomy and that may exhibit adaptiveness after deployment, and that, for explicit or implicit objectives, infers, from the input it receives, how to generate outputs such as predictions, content, recommendations, or decisions that can influence physical or virtual environmentsArticle 3(1). Those practices shall concern in particular:
(a) the relevant design choices;
(b) data collection processes and the origin of data, and in the case of personal datapersonal dataAny information relating to an identified or identifiable natural person ('data subjectsubjectfor the purpose of real-world testing, means a natural person who participates in testing in real-world conditionsArticle 3(58)data subjectsubjectfor the purpose of real-world testing, means a natural person who participates in testing in real-world conditionsArticle 3(58)An identified or identifiable natural person to whom personal data relateGDPR Art. 4(1)'). Includes name, ID number, location data, online identifiers, or factors specific to physical, physiological, genetic, mental, economic, cultural or social identityGDPR Art. 4(1), the original purpose of the data collection;
(c) relevant data-preparation processing operations, such as annotation, labelling, cleaning, updating, enrichment and aggregation;
(d) the formulation of assumptions, in particular with respect to the information that the data are supposed to measure and represent;
(e) an assessment of the availability, quantity and suitability of the data sets that are needed;
(f) examination in view of possible biases that are likely to affect the health and safety of persons, have a negative impact on fundamental rightsfundamental rightsIncludes human dignity, right to life, prohibition of torture, protection of personal datapersonal dataAny information relating to an identified or identifiable natural person ('data subjectsubjectfor the purpose of real-world testing, means a natural person who participates in testing in real-world conditionsArticle 3(58)data subjectsubjectfor the purpose of real-world testing, means a natural person who participates in testing in real-world conditionsArticle 3(58)An identified or identifiable natural person to whom personal data relateGDPR Art. 4(1)'). Includes name, ID number, location data, online identifiers, or factors specific to physical, physiological, genetic, mental, economic, cultural or social identityGDPR Art. 4(1), freedom of expression, non-discrimination, equality between women and men, rights of the child, right to an effective remedy and fair trialCharter of Fundamental Rights Art. 1–54 or lead to discrimination prohibited under Union law, especially where data outputs influence inputs for future operations;
(g) appropriate measures to detect, prevent and mitigate possible biases identified according to point (f);
(h) the identification of relevant data gaps or shortcomings that prevent compliance with this Regulation, and how those gaps and shortcomings can be addressed.
3. Training, validation and testing datatesting datameans data used for providing an independent evaluation of the AI systemAI systemmeans a machine-based system that is designed to operate with varying levels of autonomy and that may exhibit adaptiveness after deployment, and that, for explicit or implicit objectives, infers, from the input it receives, how to generate outputs such as predictions, content, recommendations, or decisions that can influence physical or virtual environmentsArticle 3(1) in order to confirm the expected performance of that system before its placing on the market or putting into serviceArticle 3(32) sets shall be relevant, sufficiently representative, and to the best extent possible, free of errors and complete in view of the intended purposeintended purposemeans the use for which an AI systemAI systemmeans a machine-based system that is designed to operate with varying levels of autonomy and that may exhibit adaptiveness after deployment, and that, for explicit or implicit objectives, infers, from the input it receives, how to generate outputs such as predictions, content, recommendations, or decisions that can influence physical or virtual environmentsArticle 3(1) is intended by the providerprovidermeans a natural or legal person, public authority, agency or other body that develops an AI system or a general-purpose AI model or that has an AI system or a general-purpose AI model developed and places it on the market or puts the AI system into service under its own name or trademark, whether for payment or free of chargeArticle 3(3), including the specific context and conditions of use, as specified in the information supplied by the providerprovidermeans a natural or legal person, public authority, agency or other body that develops an AI system or a general-purpose AI model or that has an AI system or a general-purpose AI model developed and places it on the market or puts the AI system into service under its own name or trademark, whether for payment or free of chargeArticle 3(3) in the instructions for use, promotional or sales materials and statements, as well as in the technical documentationArticle 3(12). They shall have the appropriate statistical properties, including, where applicable, as regards the persons or groups of persons in relation to whom the high-risk AI systemAI systemmeans a machine-based system that is designed to operate with varying levels of autonomy and that may exhibit adaptiveness after deployment, and that, for explicit or implicit objectives, infers, from the input it receives, how to generate outputs such as predictions, content, recommendations, or decisions that can influence physical or virtual environmentsArticle 3(1) is intended to be used. Those characteristics of the data sets may be met at the level of individual data sets or at the level of a combination thereof.
4. Data sets shall take into account, to the extent required by the intended purposeintended purposemeans the use for which an AI systemAI systemmeans a machine-based system that is designed to operate with varying levels of autonomy and that may exhibit adaptiveness after deployment, and that, for explicit or implicit objectives, infers, from the input it receives, how to generate outputs such as predictions, content, recommendations, or decisions that can influence physical or virtual environmentsArticle 3(1) is intended by the providerprovidermeans a natural or legal person, public authority, agency or other body that develops an AI system or a general-purpose AI model or that has an AI system or a general-purpose AI model developed and places it on the market or puts the AI system into service under its own name or trademark, whether for payment or free of chargeArticle 3(3), including the specific context and conditions of use, as specified in the information supplied by the providerprovidermeans a natural or legal person, public authority, agency or other body that develops an AI system or a general-purpose AI model or that has an AI system or a general-purpose AI model developed and places it on the market or puts the AI system into service under its own name or trademark, whether for payment or free of chargeArticle 3(3) in the instructions for use, promotional or sales materials and statements, as well as in the technical documentationArticle 3(12), the characteristics or elements that are particular to the specific geographical, contextual, behavioural or functional setting within which the high-risk AI systemAI systemmeans a machine-based system that is designed to operate with varying levels of autonomy and that may exhibit adaptiveness after deployment, and that, for explicit or implicit objectives, infers, from the input it receives, how to generate outputs such as predictions, content, recommendations, or decisions that can influence physical or virtual environmentsArticle 3(1) is intended to be used.
5. Not present after the amendment.
(a) Not present after the amendment.
(b) Not present after the amendment.
(c) Not present after the amendment.
(d) Not present after the amendment.
(e) Not present after the amendment.
(f) Not present after the amendment.
6. For the development of high-risk AI systems not using techniques involving the training of AI models, paragraphs 2, 3 and 4 of this Article and Article 4a(1) shall apply only to the testing datatesting datameans data used for providing an independent evaluation of the AI systemAI systemmeans a machine-based system that is designed to operate with varying levels of autonomy and that may exhibit adaptiveness after deployment, and that, for explicit or implicit objectives, infers, from the input it receives, how to generate outputs such as predictions, content, recommendations, or decisions that can influence physical or virtual environmentsArticle 3(1) in order to confirm the expected performance of that system before its placing on the market or putting into serviceArticle 3(32) sets.