DIN Standards Committee Information Technology and IT Applications
Artificial Intelligence - Quality and governance of datasets in AI
Abstract
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.
Begin
2024-09-05
WI
JT021037
Planned document number
prEN XXX-JT021037