Automated Directed Fairness Testing

Fairness is a critical trait in decision making. As machine-learning models are increasingly being used in sensitive application domains (e.g. education and employment) for decision making, it is crucial that the decisions computed by such models are free of unintended bias. But how can we automatic...

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Bibliographische Detailangaben

Veröffentlicht in:	2018 33rd IEEE/ACM International Conference on Automated Software Engineering (ASE) S. 98 - 108
Hauptverfasser:	Udeshi, Sakshi, Arora, Pryanshu, Chattopadhyay, Sudipta
Format:	Tagungsbericht
Sprache:	Englisch
Veröffentlicht:	ACM 01.09.2018
Schlagworte:	Computational modeling Decision making Directed Testing Machine learning Robustness Software Software engineering Software Fairness Test pattern generators Testing Training Videos
ISSN:	2643-1572
Online-Zugang:	Volltext
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