Search-based fairness testing for regression-based machine learning systems

Context Machine learning (ML) software systems are permeating many aspects of our life, such as healthcare, transportation, banking, and recruitment. These systems are trained with data that is often biased, resulting in biased behaviour. To address this issue, fairness testing approaches have been...

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Veröffentlicht in:Empirical software engineering : an international journal Jg. 27; H. 3
Hauptverfasser: Perera, Anjana, Aleti, Aldeida, Tantithamthavorn, Chakkrit, Jiarpakdee, Jirayus, Turhan, Burak, Kuhn, Lisa, Walker, Katie
Format: Journal Article
Sprache:Englisch
Veröffentlicht: New York Springer US 01.05.2022
Springer Nature B.V
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ISSN:1382-3256, 1573-7616
Online-Zugang:Volltext
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