Povinnosti
Data governance
Practices for training, validation, and testing datasets.
Definice
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.
Související pojmy
Související povinnosti
Tato stránka je srozumitelné shrnutí pro orientaci. Nejde o právní poradenství — závazný je text nařízení (EU) 2024/1689.