LawTalk Ep. 1 - Facial Recognition Technology and Its Algorithmic Racial Bias episode artwork

EPISODE · Oct 26, 2020 · 1H 2M

LawTalk Ep. 1 - Facial Recognition Technology and Its Algorithmic Racial Bias

from University of Minnesota Law School · host University of Minnesota Law School

Welcome to LawTalk, a podcast series produced by the University of Minnesota Law School featuring events, webinars, and panel discussions about diverse topics at the intersection of law, policy, and education. The first episode, “Facial Recognition Technology and Its Algorithmic Racial Bias,” is from a webinar on the growing use of video and AI technology in policing and the justice system and how these technologies can perpetuate bias. The law and technology experts participating in the panel discussion are: Ángel Díaz, Counsel, Liberty & National Security at the Brennan Center for Justice Elizabeth Joh, Martin Luther King Jr. Professor of Law at the UC Davis School of Law Deborah Raji (Raj-gee), Technology Fellow at Mozilla Jameson Spivack (spee vack), Policy Associate at the Center on Privacy & Technology at Georgetown Law The hour-long program is moderated by Francis Shen, Professor of Law at the University of Minnesota Law School and executive director of Education and Outreach for the MacArthur Foundation Research Network on Law and Neuroscience, This webinar was originally recorded on September 18, 2020. Watch a rebroadcast of the webinar here: https://youtu.be/jgN1HUQQb1o Learn more about the University of Minnesota Law School by visiting law.umn.edu and following Minnesota Law on Twitter twitter.com/UofMNLawSchool. Find a transcript of this podcast at: https://z.umn.edu/Ep1Transcript

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LawTalk Ep. 1 - Facial Recognition Technology and Its Algorithmic Racial Bias

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