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.
État actuel: PubliéeDate de publication: 2021-11
Comité technique: ISO/IEC JTC 1/SC 42 Intelligence artificielle
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|std 1 166||PDF + ePub|
|std 2 166||Papier|