Data Ethics Repository

Tag: Interdisciplinary

Discriminating Data

Alternative Algorithms, Defaults, Dirty Data, Innate Bias, Interdisciplinary, Racial Bias

Author: Wendy Hui Kyong Chun; Publisher: MIT Press; Publication Year: 2021. The following book discusses the innate bias that comes from dirty data and how removing indicators of race will not remove bias from artificial…
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Data Ethics Club: Creating a Collaborative Space to Discuss Data Ethics

Collaboration, Data Ethics Club, Data Science, Interdisciplinary

Author: Nina H. Di Cara, Natalie Zelenka, Huw Day, Euan D.S. Bennet, Vanessa Hanschke, Valerio Maggio, Ola Michalec, Charles Radclyffe, Roman Shkunov, Emma Tonkin, Zoë Turner, Kamilla Wells; Publisher: National Library of Medicine; Publication Year:…
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Good Data

Criminology, Data Science, Digital Humanities, Digital Media, Interdisciplinary, Justice, Law, Philosophy, Political Science, Public Health, Renewable Energy, Social Media, Sociology

Author: Angela Daly, S. Kate Devitt, Monique Mann; Publisher: Insitute of Network Cultures (Google Books); Publication Year: 2019. The following book moves away from critiquing bad data and instead brainstorms a more optimistic vision of…
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