Article 10 Data and data governance

High-risk AI systems means 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 environments; 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 means data used for providing an independent evaluation of the AI system in order to confirm the expected performance of that system before its placing on the market or putting into service; sets that meet the quality criteria referred to in paragraphs 2 to 5 whenever such data sets are used.

1. the relevant design choices;

2. data collection processes and the origin of data, and in the case of personal data means personal data as defined in Article 4, point (1), of Regulation (EU) 2016/679;, the original purpose of the data collection;

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

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

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

6. 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;

7. appropriate measures to detect, prevent and mitigate possible biases identified according to point (f);

8. the identification of relevant data gaps or shortcomings that prevent compliance with this Regulation, and how those gaps and shortcomings can be addressed.

Training, validation and testing data means data used for providing an independent evaluation of the AI system in order to confirm the expected performance of that system before its placing on the market or putting into service; sets shall be relevant, sufficiently representative, and to the best extent possible, free of errors and complete in view of the intended purpose means the use for which an AI system is intended by the provider, including the specific context and conditions of use, as specified in the information supplied by the provider in the instructions for use, promotional or sales materials and statements, as well as in the technical documentation;. 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 system means 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 environments; 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.

Data sets shall take into account, to the extent required by the intended purpose means the use for which an AI system is intended by the provider, including the specific context and conditions of use, as specified in the information supplied by the provider in the instructions for use, promotional or sales materials and statements, as well as in the technical documentation;, the characteristics or elements that are particular to the specific geographical, contextual, behavioural or functional setting within which the high-risk AI system means 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 environments; is intended to be used.

1. the bias detection and correction cannot be effectively fulfilled by processing other data, including synthetic or anonymised data;

2. the special categories of personal data means the categories of personal data referred to in Article 9(1) of Regulation (EU) 2016/679, Article 10 of Directive (EU) 2016/680 and Article 10(1) of Regulation (EU) 2018/1725; are subject, for the purpose of real-world testing, means a natural person who participates in testing in real-world conditions; to technical limitations on the re-use of the personal data means personal data as defined in Article 4, point (1), of Regulation (EU) 2016/679;, and state-of-the-art security and privacy-preserving measures, including pseudonymisation;

3. the special categories of personal data means the categories of personal data referred to in Article 9(1) of Regulation (EU) 2016/679, Article 10 of Directive (EU) 2016/680 and Article 10(1) of Regulation (EU) 2018/1725; are subject, for the purpose of real-world testing, means a natural person who participates in testing in real-world conditions; to measures to ensure that the personal data means personal data as defined in Article 4, point (1), of Regulation (EU) 2016/679; processed are secured, protected, subject, for the purpose of real-world testing, means a natural person who participates in testing in real-world conditions; to suitable safeguards, including strict controls and documentation of the access, to avoid misuse and ensure that only authorised persons have access to those personal data means personal data as defined in Article 4, point (1), of Regulation (EU) 2016/679; with appropriate confidentiality obligations;

4. the special categories of personal data means the categories of personal data referred to in Article 9(1) of Regulation (EU) 2016/679, Article 10 of Directive (EU) 2016/680 and Article 10(1) of Regulation (EU) 2018/1725; are not to be transmitted, transferred or otherwise accessed by other parties;

5. the special categories of personal data means the categories of personal data referred to in Article 9(1) of Regulation (EU) 2016/679, Article 10 of Directive (EU) 2016/680 and Article 10(1) of Regulation (EU) 2018/1725; are deleted once the bias has been corrected or the personal data means personal data as defined in Article 4, point (1), of Regulation (EU) 2016/679; has reached the end of its retention period, whichever comes first;

6. the records of processing activities pursuant to Regulations (EU) 2016/679 and (EU) 2018/1725 and Directive (EU) 2016/680 include the reasons why the processing of special categories of personal data means the categories of personal data referred to in Article 9(1) of Regulation (EU) 2016/679, Article 10 of Directive (EU) 2016/680 and Article 10(1) of Regulation (EU) 2018/1725; was strictly necessary to detect and correct biases, and why that objective could not be achieved by processing other data.

For the development of high-risk AI systems means 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 environments; not using techniques involving the training of AI models, paragraphs 2 to 5 apply only to the testing data means data used for providing an independent evaluation of the AI system in order to confirm the expected performance of that system before its placing on the market or putting into service; sets.