Abstract

 Preview

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.


General information 

  • Status
     :  Published
    Publication date
     : 2021-11
  • Edition
     : 1
    Number of pages
     : 39
  • Technical Committee
     : ISO/IEC JTC 1/SC 42 Artificial intelligence
  • ICS
     :
    35.020 Information technology (IT) in general

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