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Algorithmic Discrimination in Hiring & Social Welfare
This event is hosted by the Disability Rights and Systemic Racism Working Groups of the Berkeley Center on Comparative Equality and Anti-discrimination Law.

With a majority of the top employers on the US Fortune 500 list using some sort of automated hiring algorithm, the risk of algorithmic discrimination in the workplace has risen. The increase in use of artificial intelligence not only results in discriminatory hiring practices, but also serves to police the poor. This webinar seeks to bring attention to how algorithms work, how people with disabilities and racial minorities might be especially harmed, and how employers and advocates can mitigate these harms.

Our speakers:
Ifeoma Ajunwa - Associate Professor at University of North Carolina School of Law and Founding Director of the Artificial Intelligence Decision-Making Research Program at University of North Carolina Law

Lydia X. Z. Brown - Policy Counsel for the Privacy and Data Project at the Center for Democracy and Technology, Adjunct Lecturer & Core Faculty for the Disability Studies Program at Georgetown University

Virginia Eubanks - Associate Professor of Political Science at the University at Albany, SUNY and author of "Automating Inequality: How High-Tech Tools Profile, Police, and Punish the Poor; Digital Dead End: Fighting for Social Justice in the Information Age"

Our moderator:
Laverne Jacobs - Associate Professor at Windsor Law, Co-director of the Disability Rights Working Group in the Berkeley Center on Comparative Equality and Anti-discrimination Law, and founding director of The Law, Disability and Social Change Project

If you require an accommodation for effective communication (ASL interpreting/CART captioning, alternative media formats, etc.), please contact Tim Bott at tbott@berkeley.edu with as much advance notice as possible and at least 7-10 days in advance of the event.
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