Category: 2019
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Facebook’s Ad-Serving Algorithm Discriminates by Gender and Race
Author: Karen Hao; Publisher: MIT Technology Review; Publication Year: 2019. The following article describes how people may have seen personalized Facebook advertisements on their feed. As it turns out, that algorithm, based on machine learning,…
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Race, Technology, and Algorithmic Bias
Author: Joy Buolamwini, Latanya Sweeney, and Darren Walker; Publisher: Radcliffe Institute for Advanced Study, Harvard University; Publication Year: 2019. The following video documents a conversation between Joy Buolamwini, Latanya Sweeney, and Darren Walker. Leading the…
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The Ethics of People Analytics and AI in the Workplace: Four Dimensions of Trust
Author: Josh Bersin; Publisher: The Medium; Publication Year: 2019. The following article first establishes several ethical issues that can result from using artificial intelligence (AI) in hiring, managing employees, or making other decisions base on…
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Racist Data? Human Bias is Infecting AI Development
Author: John Murray; Publisher: The Guardian; Publication Year: 2019. The following article gives several real-life examples of times when unchecked bias had serious consequences. For example, unchecked bias in the COMPAS program caused Black defendants…
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Fighting the Gender Stereotypes That Warp Biomedical Research
Author: JoAnna Klein; Publisher: The New York Times; Publication Year: 2019. The following article discusses how the stereotypes and bias in medical research (and more generally) resulted in mainly male animals being used in biomedical…
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Is It Time for a Data Scientist Code of Ethics?
Artificial Intelligence, DeepNude, Greater Good, Non-Maleficence, Notability, Regulations, Rules, StatutoryAuthor: Jesse Freeman; Publisher: Medium; Publication Year: 2019. The following article discusses how artificial intelligence (AI) interfaces are progressing faster than society has been able to create rules to monitor them. This article outlines the…