Obligations
Data governance
Practices for training, validation, and testing datasets.
Definition
Providers of high-risk AI systems must apply data governance practices covering design choices, collection, preparation, bias examination, and the relevance and representativeness of training, validation, and testing datasets. Gaps must be identified and addressed before the system is placed on the market.
Related terms
Related obligations
This page is a plain-language summary for orientation only. It is not legal advice — the binding text is Regulation (EU) 2024/1689.