What EU AI Act - Data Governance Requirements for High-Risk AI Training Data (Article 10) requires
EU AI Act (Regulation 2024/1689) Article 10 establishes mandatory data governance requirements for training, validation, and testing datasets used in high-risk AI systems; Article 10(1) - providers must implement data governance and management practices covering: the design choices regarding training, validation, and testing data including data collection processes, the labelling procedures, and the data preparation operations; Article 10(2) - training, validation, and testing datasets shall be subject to data governance and management practices covering: (a) the relevant design choices; (b) data collection processes and the origin of data, and in the case of personal data the original purpose of the data collection; (c) relevant data preparation operations such as annotation, labelling, cleaning, enrichment and aggregation; (d) the formulation of relevant assumptions, notably with respect to the information that the data is meant to measure and represent; (e) an assessment of the availability, quantity, and suitability of the datasets needed; (f) examination for possible biases that could affect health and safety or lead to discrimination prohibited under Union law; (g) identification of any possible data gaps or shortcomings and how those gaps and shortcomings are to be addressed; Article 10(3) - training, validation, and testing datasets must be relevant, sufficiently representative and, to the best extent possible, free of errors and complete in view of the intended purpose; Article 10(4) - training, validation, and testing datasets must take into account, to the extent required by the intended purpose, the characteristics or elements particular to the specific geographical, contextual, behavioural, or functional setting within which the high-risk AI system is intended to be used; Article 10(5) - to the extent strictly necessary for the purposes of detecting and correcting biases in high-risk AI systems, providers may process special categories of personal data referred to in GDPR Article 9(1) and Article 10 of Directive 2016/680 subject to appropriate safeguards for the fundamental rights and freedoms of natural persons.
Pillar: AI Governance & Law · Authority: European Parliament and Council of the EU · Version: 1.0.0 · Last updated:
Primary source: https://eur-lex.europa.eu/legal-content/EN/TXT/?uri=CELEX:32024R1689
SHA-256 integrity: 4ea17fe57ab4f7892b1c59657fe52974248472b39b5ede2d103197b3332adea5
Primary Citations — 5 traced to source
- {"title":"Regulation (EU) 2024/1689 - EU AI Act: Article 10 - Data and Data Governance","url":"https://eur-lex.europa.eu","relevance":"Primary EU AI Act provision establishing mandatory data governance requirements for training, validation, and testing datasets used in high-risk AI systems - Article 10 specifies the data governance documentation framework (Article 10(2)(a)-(g)), the quality standards (Article 10(3): relevance, representativeness, completeness, error-free), the special category personal data processing permission for bias detection (Article 10(4)), and the contextual appropriateness requirement (Article 10(5))"}
- {"title":"Regulation (EU) 2024/1689 - EU AI Act: Article 9 - Risk Management System","url":"https://eur-lex.europa.eu","relevance":"EU AI Act provision linking data governance to risk management - Article 9 risk management system must incorporate biases identified under Article 10(2)(f) as known risks and must evaluate accuracy risks arising from dataset gaps or shortcomings identified under Article 10(2)(g); the Article 10 data governance documentation feeds directly into the Article 9 risk management system and the Article 11 Annex IV technical documentation"}
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