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AI and Inequality: How Machines Keep Us Poor, Sick, and Discriminated Against

Curated and Moderated by Dr. Avriel Epps
Featuring Meredith Broussard, Virginia Eubanks, and Charles Senteio
Thursday, May 30, 2024
01:16:18
Episode Summary

This third program in our AI series focused on the critical issue of inherent biases in AI technologies, especially as they are deployed in law enforcement, healthcare, government, and education. We took a look at how these biases manifest and their profound implications.


Participant(s) Bio

Curator and Featured Speakers:

Dr. Avriel Epps

Dr. Avriel Epps (she/they) is a computational social scientist and a PhD candidate in Human Development at Harvard. Her work, supported by The Ford Foundation, The MacArthur Foundation, and the National Center on Race and Digital Justice, delves into how bias in predictive technologies affects adolescent racial, gender, and sociopolitical identity development. As an educator, she has taught and designed courses on subjects like Digital Privacy, Data Science Ethics, and Adolescent Development. Avriel also co-leads AI4Abolition, an organization dedicated to increasing AI literacy and building open-source AI tools for marginalized communities. Her scholarship has not only appeared in academic journals and handbooks but has also reached wider audiences through publications like The Atlantic and the Emmy-nominated PBS documentary TikTok, Boom. Recently, she completed her Ph.D. at Harvard University in Education with a concentration in Human Development and will begin her tenure as Assistant Professor of Fair and Responsible Data Science at Rutgers University in the Fall of 2025.

Meredith Broussard

Meredith Broussard is an associate professor at New York University. Her books include More Than a Glitch: Confronting Race, Gender, and Ability Bias in Tech and Artificial Unintelligence: How Computers Misunderstand the World. She appears in the Emmy-nominated documentary Coded Bias on Netflix

Virginia Eubanks

Virginia Eubanks is an Associate Professor of Political Science at the University at Albany, SUNY. She is the author of Automating Inequality: How High-Tech Tools Profile, Police, and Punish the Poor. Her investigative reporting and personal essays have appeared in The New York Times Magazine, Scientific American, The Nation, Harper’s, and Wired. She is currently working on a memoir about community violence, PTSD, and caregiving. Andrea Quijada is gathering oral histories of the global automated welfare state for Voice of Witness. She lives in Troy, NY.



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