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IEEE Approved Draft Standard for Evaluation Method of Machine Learning Fairness
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STANDARD published on 13.5.2025
Designation standards: IEEE P3198
Publication date standards: 13.5.2025
SKU: NS-1214992
Approximate weight : 300 g (0.66 lbs)
Country: International technical standard
Category: Technical standards IEEE
New IEEE Standard - Active - Draft.
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.
ISBN: 979-8-8557-1360-2, 979-8-8557-1360-2
Number of Pages: 34
Product Code: STDUD27414, STDAPE27414
Keywords: machine learning, fairness, evaluation method, evaluation metric, bias
Category: Transformers
Draft Number: P3198/D3, Oct 2024 - UNAPPROVED DRAFT, P3198/D3, Oct 2024 - APPROVED DRAFT
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Latest update: 2025-03-13 (Number of items: 2 232 199)
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