Review paper
Algorithmic bias: Senses, sources, solutions
Abstract
Data‐driven algorithms are widely used to make or assist decisions in sensitive domains, including healthcare, social services, education, hiring, and criminal justice. In various cases, such algorithms have preserved or even exacerbated biases against vulnerable communities, sparking a vibrant field of research focused on so‐called algorithmic biases. This research includes work on identification, diagnosis, and response to biases in...
Paper Details
Title
Algorithmic bias: Senses, sources, solutions
Published Date
Jun 12, 2021
Journal
Volume
16
Issue
8
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