Causality-Aided Trade-Off Analysis for Machine Learning Fairness

There has been an increasing interest in enhancing the fairness of machine learning (ML). Despite the growing number of fairness-improving methods, we lack a systematic understanding of the trade-offs among factors considered in the ML pipeline when fairness-improving methods are applied. This under...

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Bibliographic Details

Published in:	IEEE/ACM International Conference on Automated Software Engineering : [proceedings] pp. 371 - 383
Main Authors:	Ji, Zhenlan, Ma, Pingchuan, Wang, Shuai, Li, Yanhui
Format:	Conference Proceeding
Language:	English
Published:	IEEE 11.09.2023
Subjects:	Causality Analysis Ethics Fairness Machine learning Measurement Optimization Pipelines Robustness Systematics
ISSN:	2643-1572
Online Access:	Get full text
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