Active PAR

IEEE P3198

IEEE Draft Standard for Evaluation Method of Machine Learning Fairness

This document specifies a method for evaluating the fairness of machine learning. Multiple causes contribute to the unfairness of machine learning. In this document, these causes of machine learning unfairness are categorized. The widely recognized and used definitions of machine learning fairness are presented. This document also specifies various metrics corresponding to the definitions, and how to calculate the metrics. Test cases in this document give detailed conditions and procedures to set up the tests for evaluating machine learning fairness.

Sponsor Committee
C/AISC - Artificial Intelligence Standards Committee
Status
Active PAR
PAR Approval
2022-11-10

Working Group Details

Society
IEEE Computer Society
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Sponsor Committee
C/AISC - Artificial Intelligence Standards Committee
Working Group
AIFE-WG - AI Fairness Evaluation Working Group
IEEE Program Manager
Christy Bahn
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Working Group Chair
Qing An

Other Activities From This Working Group

Current projects that have been authorized by the IEEE SA Standards Board to develop a standard.


No Active Projects

Standards approved by the IEEE SA Standards Board that are within the 10-year lifecycle.


No Active Standards

These standards have been replaced with a revised version of the standard, or by a compilation of the original active standard and all its existing amendments, corrigenda, and errata.


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No Inactive-Withdrawn Standards

These standards are removed from active status through an administrative process for standards that have not undergone a revision process within 10 years.


No Inactive-Reserved Standards
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