Tag: Data Collection
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Artificial Intelligence Ethics and Bias
Author: James M. Connolly; Publisher: Information Week; Publication Year: 2022. The following article is a great, comprehensive description of artificial intelligence (AI) ethics and bias with a lot of supporting articles linked throughout. It begins…
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Data Ethics is More Than Just What We Do with Data, It’s Also About Who’s Doing It
Author: James Arvanitakis, Andrew Francis, Oliver Obst; Publisher: The Conversation; Publication Year: 2018. The following article discusses how, as analysts, the main 2 ethical questions that are being asked are 1). What data should be…
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Twelve Principles of Data Ethics
Author: Jacob Metcalf; Publisher: Ethical Resolve; Publication Year: 2016. The following post provides a list of 12 “universal principles of data ethics.” Although the full reports from which these were derived are not available through…
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Discrimination by Proxy: How AI Uses Big Data to Discriminate
Author: Jacob Ladd; Publisher: Michigan Technology Law Review; Publication Year: N/A. The following article discusses how artificial intelligence (AI) systems may be able to get past current discrimination laws through “proxy discrimination.” Proxy discrimination is…
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Erasing Bias in Emerging Technologies – 3 Considerations
Author: Ivor Horn, Kulleni Gebreyes; Publisher: World Economic Forum; Publication Year: 2022. In the following article, 2 healthcare industry professionals walk through 3 considerations all providers should make. The first big pitfall most providers fall…
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Handle with Care: Lessons for Data Science from Black Female Scholars
Author: Inioluwa Deborah Raji; Publisher: Patterns; Publication Year: 2020. The following article begins by confronting the idea that data science aims to reduce people to one dimensional ideas or stereotypes. When individuals or organizations attempt…
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Data Ethics: What It Is and Why It’s Important
Author: impacX team; Publisher: impacX; Publication Year: N/A. The following article describes how data ethics is an extremely important aspect of how a company should approach its collection and use of data. However, as data…