Registration – Technology Ethics Center Conference
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.
The schedule will include:
12:00 – 1:00 p.m. Keynote “Algorithms: For whom do they fail?” with Cathy O’Neil
1:00 – 2:00 p.m. Panel discussion on What do we mean by “bias” when we talk about “algorithmic bias”? What are the sources of that bias? In what contexts does it manifest? What problems does it cause?
2:00 – 3:00 p.m. Panel discussion on What ethical obligations do developers/institutions have in accounting for bias in algorithmic decision making? What technical, institutional, and legal responses are best suited to dealing with the problem?
You may join the conference at any time and will not disrupt the speakers.
“Algorithms: for whom do they fail?”
Plus panels featuring:
- Shaun Barry, Global Leader for Government, Healthcare, and Utilities at SAS
- Solon Barocas, Principal Research at Microsoft Research, Assistant Professor in the Department of Information Science at Cornell University, Faculty Associate at the Berkman Klein Center for Internet & Society at Harvard University
- Kevin Bowyer, Schubmehl-Prein Professor of Computer Science and Engineering at the University of Notre Dame
- Genevieve Fried, Technology Fellow at AI Now
- Sara Jordan, Policy Counsel at Future of Privacy Forum
- Kirsten Martin, William P. and Hazel B. White Center Professor of Technology Ethics at the University of Notre Dame
- Ron Metoyer, Associate Professor of Computer Science and Engineering at the University of Notre Dame (moderator)
- Scott Nestler, Academic Director, MS in Business Analytics at Mendoza College of Business, University of Notre Dame (moderator)
- Mutale Nkonde, CEO of AI For the People
- Francesca Rossi, AI Ethics Global Leader, IBM
- Kate Vredenburgh, Postdoctoral Fellow at Stanford University’s Institute for Human-Centered Artificial Intelligence and McCoy Family Center for Ethics and Society
- Michael Zimmer, Associate Professor, Director of Undergraduate Studies, Data Science Major, and Data Science Graduate Certificate, Marquette University
This event will explore questions such as:
- What do we mean by “bias” in the context of algorithms?
- What are the sources of that bias?
- In what contexts does bias manifest, and what are the associated harms?
- What technological, institutional, and policy responses best address the various sources of bias?