Category: Underrepresented Author
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Theories of AI Liability: It’s Still About the Human Element
Author: William A. Tanenbaum, Kiyong Song, Linda A. Malek; Publisher: Reuters; Publication Year: 2022. The following article outlines the 2 basic theories/ideas regarding who is responsible or liable for the actions taken and decisions made…
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Digital Democracy Is Within Reach
Author: Tristan Harris, Audrey Tang; Publisher: Your Undivided Attention; Publication Year: 2020. The following podcast episode features Audrey Tang, minister of digital affairs in Taiwan. She is a transgender woman that identifies as “post-gender” and…
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Datasheets for Datasets
Author: Timnit Gebru, Jamie Morgenstern, Briana Vecchione, Jennifer Wortman Vaughan, Hanna Wallach, Hal Daumé III, Kate Crawford; Publisher: Microsoft; Publication Year: 2019. The following proposal identifies that as the field of machine learning has grown,…
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Creating Diverse and Equitable Initiatives in Data Science
Author: Tiffany Oliver; Publisher: TEDx Talks; Publication Year: 2022. In the following talk, Dr. Oliver talks about her work to address the underrepresentation of women and BIPOC in data science. In 2021, Dr. Oliver created…
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Credit Scoring and the Risk of Inclusion
Author: Tamara K. Nopper; Publisher: Medium; Publication Year: 2022. The following article examines the possibilities of alternative data initiatives for mitigating racial inequality in the U.S. credit scoring system This discusses the for-profit credit evaluation…
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AI Ethics vs Data Ethics
Author: Steven Tiell; Publisher: Ethics of Data; Publication Year: 2020. The following visualization focuses on how a lot of terms surrounding the ethical considerations of data seem interchangeable, yet educating ourselves on what really constitutes…
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Why It’s So Damn Hard to Make AI Fair and Unbiased
Author: Sigal Samuel; Publisher: Vox; Publication Year: 2022. The following article introduced the idea of bias in a statistical sense and how bias is interpreted in society. This is an important distinction to recognize and…
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Gaps in Measuring and Mitigating Implicit Bias in Healthcare
Author: Sally Arif; Publisher: National Library of Medicine; Publication Year: 2021. The following article focusses on how recent studies have shown that healthcare providers hold unconscious bias through the use of the Implicit Association Test…
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Big Data Ethics: Weaving ethics into the fabric of Big Data
Author: Sahana Rajan; Publisher: Suyati; Publication Year: 2015. The following article discusses how as big data becomes more common, what are the boundaries of data ethics? Intricate data processing can open up the possibility of…