Art. 10—Data and Data Governance
>Control Description
High-risk AI systems using techniques involving training with data shall be developed on the basis of training, validation and testing data sets that meet specified quality criteria. Data governance and management practices shall address design choices, data collection processes, data preparation, formulation of assumptions, assessment of availability and suitability, examination of biases, and identification of data gaps.
Risk Tier
High-Risk
Article
Art. 10Deadline
August 2, 2026Penalty
€15M or 3% of global turnover>Applies To
providers
>Key Requirements
- •Training, validation and testing data sets meeting quality criteria
- •Appropriate data governance and management practices
- •Relevant, sufficiently representative, and free of errors data
- •Appropriate statistical properties for intended purpose
- •Consideration of characteristics specific to deployment geography
- •Bias detection and correction measures
>Cross-Framework Mappings
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