Category: 2019
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A 20-Year Community Roadmap for Artificial Intelligence Research in the U.S.
Author: Y. Gil and B. Selman; Publisher: Computing Community Consortium (CCC) and Association for the Advancement of Artificial Intelligence (AAAI); Publication Year: 2019. The following paper touches on such a broad spectrum of societal facets…
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The Apple Card Didn’t ‘See’ Gender—and That’s the Problem
Author: Will Knight; Publisher: Wired; Publication Year: 2019. The following article touches on the idea of bias “proxies,” like address information as a proxy for race. It talks about how the Apple Card was offering…
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The Role and Limits of Principles in AI Ethics: Toward a Focus on Tensions
Accuracy, Artificial Intelligence, Bioethics, Convenience, Dignity, Fair Treatment, Personalization, Service, SolidarityAuthor: Jess Whittlestone et al.; Publisher: Conference on AI, Ethics, and Society; Publication Year: 2019. The following research article argues that there are tensions between common principles guiding ethical decision-making about artificial intelligence (AI). They…
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An Ethics Framework for Big Data in Health and Research
Author: Vicki Xafis, G. Owen Schaefer, Markus K. Labude, Iain Brassington, Angela Ballantyne, Hannah Yeefen Lim, Wendy Lipworth, Tamra Lysaght, Cameron Stewart, Shirley Sun, Graeme T. Laurie & E Shyong Tai; Publisher: Asian Bioethics Review;…
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Big Data Ethics Recommendations for the Insurance Industry
Author: Christian Mottas; Publisher: University of Zurich; Publication Year: 2019. The following article discusses how insurers should not use data that is not related to the insured risk because such behavior will damage the customer’s…
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Teaching Data Ethics: We’re Going to Ethics the Heck Out of This
Author: Tristan Henderson; Publisher: Association for Computing (ACM) Machinery Digital Library; Publication Year: 2019. The following paper outlines a new Data Ethics & Privacy module that was introduced to computer science students in 2018. The…
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The Ethics of Data Visualization
Author: Tricia Bisoux; Publisher: AACSB; Publication Year: 2019. The following article discusses how graphs can be highly misleading. As an ethical data scientist, it is important to both create visuals that convey the accurate information…