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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Bibliographic Details

Published in:	2018 33rd IEEE/ACM International Conference on Automated Software Engineering (ASE) pp. 98 - 108
Main Authors:	Udeshi, Sakshi, Arora, Pryanshu, Chattopadhyay, Sudipta
Format:	Conference Proceeding
Language:	English
Published:	ACM 01.09.2018
Subjects:	Computational modeling Decision making Directed Testing Machine learning Robustness Software Software engineering Software Fairness Test pattern generators Testing Training Videos
ISSN:	2643-1572
Online Access:	Get full text
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