The Technology Ethics Center at the University of Notre Dame convenes global thought leaders in academia, industry, non-profit organizations, and governmental agencies to develop ethical and legal frameworks that keep pace with technological development. Join us on Friday, November 6, 2020 from 12:00 p.m. to 3:00 p.m. ET for a conference on Algorithmic Bias. The keynote address will be given by Cathy O’Neil, award-winning author of “Weapons of Math Destruction.” This conference is geared towards a general audience.

Featured Speakers:

• Mark P. McKenna, John P. Murphy Foundation Professor of Law at the Notre Dame Law School and the Director of the Notre Dame Technology Ethics Center, University of Notre Dame
• Cathy O’Neil, Author of the New York Times bestselling book Weapons of Math Destruction: How Big Data Increases Inequality and Threatens Democracy
• Solon Barocas, Principal Researcher in the New York City lab of Microsoft Research and an Assistant Professor in the Department of Information Science, Cornell University
• Shaun Barry, Global Leader in the Fraud & Security Intelligence practice, SAS
• Kevin Bowyer, Shubmehl-Prein Professor of Computer Science and Engineering, University of Notre Dame
• Genevieve Fried, Researcher, Office of Senator Chris Coons (D-DE)
• Sara R. Jordan, Policy Counsel, Artificial Intelligence and Ethics at the Future of Privacy Forum
• Ronald Metoyer, Associate Professor of Computer Science and Engineering, University of Notre Dame
• Kirsten Martin, William P. and Hazel B. White Professor of Technology Ethics, University of Notre Dame Mendoza School of Business
• Scott Nestler, Associate Teaching Professor in the IT, Analytics, and Operations (ITAO) Department and Academic Director of the MS in Business Analytics Program, University of Notre Dame
• Mutale Nkonde, 2020-2021 Fellow at the Notre Dame Institute for Advanced Study, University of Notre Dame
• Francesca Rossi, IBM Fellow and the IBM AI Ethics Global Leader, IBM Corporation
• Kate Vredenburgh, Assistant Professorship in the Department of Philosophy, Logic and Scientific Method, London School of Economics
• Michael Zimmer, Ph.D., Associate Professor in the Department of Computer Science, Director of Undergraduate Studies, Co-Director of the Interdisciplinary Data Science Major, and Director of the Graduate Data Science Certificate, Marquette University