This document provides guidance and requirements for the creation and management of datasets in the context of AI, including design choices, data collection and preparation. It defines metrics and methodology to assess dataset quality characteristics such as representativeness, relevance, completeness and correctness.
This encompasses consideration of any data, including training data, validation data and test data, and to be used in conjunction with any AI technology.
Legislation related to this standard
IN_DEVELOPMENT
prEN 18284
10.99
New project approved
Sep 5, 2024