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 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

Responsible national committee

NA 043-01-42-03 AK - Data  

Responsible european committee

CEN/CLC/JTC 21/WG 3 - Engineering aspects  

Contact

Boris Reznicek

Am DIN-Platz, Burggrafenstr. 6
10787 Berlin

Tel.: +49 30 2601-2327
Fax: +49 30 2601-42327

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