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Framework for developing algorithmic fairness

Published in Bulletin of Electrical Engineering and Informatics • Aug 1, 2020
NobleIDNI4P40W21R27S35
Authors:
Dedy Prasetya Kristiadi
,
Po Abas Sunarya
,
Melvin Ismanto

Abstract

In a world where the algorithm can control the lives of society, it is not surprising that specific complications in determining the fairness in the algorithmic decision will arise at some point. Machine learning has been the de facto tool to forecast a problem that humans cannot reliably predict wi...

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