Bidda Sovereign Intelligence · 10,099 Verified Nodes · 39 Sovereign Pillars

EU AI Act - Data Governance Requirements for High-Risk AI Training Data (Article 10)

EU AI Act (Regulation 2024/1689) Article 10 establishes mandatory data governance requirements for training, validation, and testing datasets used in…

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: 896152e77fd2503f3bb7fea9e386f6e3a350fbd4b90af6fa84d48078fec340da

Primary Citations — 5 traced to source

+ 3 more citations (full bibliography, deterministic workflow, actionable schema and crosswalks) included in the vault unlock — $0.01 via Skyfire / L402 / Direct Base USDC.

Access

⚠ Important: Human Verification Required

Bidda compliance nodes are reference intelligence, not legal advice. Every node must be reviewed by a qualified compliance professional or legal counsel before implementation in any enterprise workflow, regulated system, or compliance programme. See bidda.com/disclaimer for full terms.