Abstract

This document addresses bias in relation to AI systems, especially with regards to AI-aided decision-making. Measurement techniques and methods for assessing bias are described, with the aim to address and treat bias-related vulnerabilities. All AI system lifecycle phases are in scope, including but not limited to data collection, training, continual learning, design, testing, evaluation and use.

Begin

2023-07-07

WI

JT021017

Planned document number

DIN CEN/CLC ISO/IEC/TR 24027

Project number

04301082

Responsible national committee

NA 043-01-42-03 AK - Data  

Responsible european committee

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

Responsible international committee

ISO/IEC JTC 1/SC 42/WG 3 - Trustworthiness