Episode 8: Facial Recognition, Algorithmic Inequality, and a Racial Reckoning ft. Virginia Eubanks

In this episode, Jack and Shobita discuss big tech's decisions to pull back from facial recognition technology, and how the Black Lives Matter movement is influencing science and technology overall. And they chat with Virginia Eubanks, author of Automating Inequality: How High-Tech Tools Profile, Police, and Punish the Poor (St. Martin's Press, 2018) and Associate Professor of Political Science at the University at Albany, SUNY.

- Kashmir Hill, "Wrongfully Accused by an Algorithm." The New York Times. June 24, 2020.

- Coalition for Critical Technology, "Abolish the #TechtoPrisonPipeline," June 23, 2020.

- Virginia Eubanks, Automating Inequality: How High-Tech Tools Profile, Police, and Punish the Poor, St. Martin's Press, 2018.

- Virginia Eubanks, “Zombie Debts are Hounding Struggling Americans. Will You Be Next?" The Guardian, October 15, 2019

- Virginia Eubanks, “Algorithms Designed to Fight Poverty Can Actually Make It Worse” Scientific American, Volume 319, No 5 (pp 68-71). November 2018. (Part of a Special issue, “The Science of Inequality”)

- Virginia Eubanks, “High-Tech Homelessness” American Scientist, July-August 2018

- Virginia Eubanks, “The Digital Poorhouse,” Harper’s Magazine January 2018

- Virginia Eubanks, “A Child Abuse Prediction Model Fails Poor Families,” WIRED Magazine, January 15, 2018

- Virginia Eubanks, "Want to Cut Welfare? There’s an App for That," The Nation, March 27, 2015

Transcript available at thereceivedwisdom.org