Tuning Fairness by Balancing Target Labels

The issue of fairness in machine learning models has recently attracted a lot of attention as ensuring it will ensure continued confidence of the general public in the deployment of machine learning systems. We focus on mitigating the harm incurred by a biased machine learning system that offers bet...

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Bibliographic Details
Main Authors: Thomas Kehrenberg, Zexun Chen, Novi Quadrianto
Format: Article
Language:English
Published: Frontiers Media S.A. 2020-05-01
Series:Frontiers in Artificial Intelligence
Subjects:
Online Access:https://www.frontiersin.org/article/10.3389/frai.2020.00033/full