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IEEE Standard for Evaluation Method of Machine Learning Fairness

IEEE Std 3198-2025

Organization:
IEEE - The Institute of Electrical and Electronics Engineers, Inc.
Year: 2025

IEEE - The Institute of Electrical and Electronics Engineers, Inc.

Abstract: A method for evaluating the fairness of machine learning is specified in this standard. Multiple causes contribute to the unfairness of machine learning. These causes of machine learning unfairness are categorized. The widely recognized and used definitions of machine learning fairness are presented. Various metrics corresponding to the definitions, and how to calculate the metrics are specified in this standard. Detailed conditions and procedures to set up the tests for evaluating machine learning fairness are given by the test cases in this document.
URI: https://yse.yabesh.ir/std/handle/yse/348589
Subject: evaluation method
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    IEEE Standard for Evaluation Method of Machine Learning Fairness

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contributor authorIEEE - The Institute of Electrical and Electronics Engineers, Inc.
date accessioned2025-09-30T23:08:30Z
date available2025-09-30T23:08:30Z
date copyright26 May 2025
date issued2025
identifier other11015942.pdf
identifier urihttps://yse.yabesh.ir/std/handle/yse/348589
description abstractA method for evaluating the fairness of machine learning is specified in this standard. Multiple causes contribute to the unfairness of machine learning. These causes of machine learning unfairness are categorized. The widely recognized and used definitions of machine learning fairness are presented. Various metrics corresponding to the definitions, and how to calculate the metrics are specified in this standard. Detailed conditions and procedures to set up the tests for evaluating machine learning fairness are given by the test cases in this document.
languageEnglish
publisherIEEE - The Institute of Electrical and Electronics Engineers, Inc.
titleIEEE Standard for Evaluation Method of Machine Learning Fairnessen
titleIEEE Std 3198-2025num
typestandard
page37
treeIEEE - The Institute of Electrical and Electronics Engineers, Inc.:;2025
contenttypefulltext
subject keywordsevaluation method
subject keywordsbias
subject keywordsevaluation metric
subject keywordsfairness
subject keywordsIEEE 3198
subject keywordsmachine learning
identifier DOI10.1109/IEEESTD.2025.11015942
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