Article 10High-risk
Data and data governance
Provider
Deadline: August 2, 2026
Article 10 establishes requirements for training, validation and testing datasets used for high-risk AI systems. Data governance practices must ensure the quality, representativeness, absence of errors and completeness of the data.
Key points
1Governance practices covering design, collection and preparation of data
2Examination of possible biases and detection and correction measures
3Consideration of specific geographical, contextual and behavioral characteristics
4Strictly regulated possibility of processing special categories of data
Related definitions
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