Article 10
Data and data governance
High-risk AI systems trained with data must be developed on training, validation, and testing datasets that meet defined quality criteria and are subject to appropriate governance practices.
Points clés
- Document design choices, data origin, collection, and preparation
- Examine datasets for possible biases and take corrective measures
- Datasets must be relevant, representative, and as error-free as possible
- Account for the geographic and contextual setting of intended use
- Special-category data may be processed only where strictly necessary for bias correction
Termes liés
Cette page est un résumé d'orientation en langage clair. Il ne s'agit pas d'un conseil juridique — le texte contraignant est le règlement (UE) 2024/1689.