NA 043
DIN Standards Committee Information Technology and IT Applications
Project
Artificial Intelligence - Quality and governance of datasets in AI
Abstract
This document provides guidance and requirements for the creation and management of data sets in the context of AI, including design choices, data collection and preparation. It defines a methodology to assess data set quality characteristics such as representativeness, relevance, completeness and correctness. This encompasses consideration of any data, including training data, validation data and testing data, and to be used in conjunction with any AI algorithms.
Begin
2024-09-05
WI
JT021037
Planned document number
prEN 18284
