FairSight: Visual Analytics for Fairness in Decision Making

Data-driven decision making related to individuals has become increasingly pervasive, but the issue concerning the potential discrimination has been raised by recent studies. In response, researchers have made efforts to propose and implement fairness measures and algorithms, but those efforts have...

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Vydáno v:	IEEE transactions on visualization and computer graphics Ročník 26; číslo 1; s. 1086 - 1095
Hlavní autoři:	Ahn, Yongsu, Lin, Yu-Ru
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	United States IEEE 01.01.2020 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Témata:	Algorithms Decision analysis Decision making Diagnostic systems Fairness in Machine Learning Machine learning Machine learning algorithms Mathematical analysis Pipelines Task analysis Visual Analytic Visual analytics
ISSN:	1077-2626, 1941-0506, 1941-0506
On-line přístup:	Získat plný text
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