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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Veröffentlicht in:	IEEE transactions on visualization and computer graphics Jg. 26; H. 1; S. 1086 - 1095
Hauptverfasser:	Ahn, Yongsu, Lin, Yu-Ru
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	United States IEEE 01.01.2020 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	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
Online-Zugang:	Volltext
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