Panel 2 (Nov 6, 2 - 3 p.m. ET)

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Featured Speakers: 

• 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

Scott Nestler (Moderator)

Scott Nestler is an associate teaching professor in the IT, Analytics, and Operations (ITAO) department, and serves as the Academic Director of the MS in Business Analytics program. He teaches courses in Statistics, Sports Analytics, and Ethics in Business Analytics. He joined Mendoza College of Business subsequent to his retirement from the U.S. Army after more than 25 years of service. He has served as an analyst and leader of analytic teams at the Pentagon and the U.S. Embassy in Baghdad, Iraq. Scott has a Ph.D. in Management Science from the University of Maryland – College Park. He is active in the Institute for Operations Research and the Management Sciences (INFORMS), and currently serves as the General Chair of the 2020 Analytics Conference, in Denver, CO. Previously, he was Chair of the Analytics Certification Board (ACB), which oversees the Certified Analytics Professional (CAP) program and Vice-Chair of the INFORMS SpORts (Operations Research in Sports) Section. His research also looks at the ethical implications of data collected from wearable devices used by athletes and others.

Kirsten Martin

Kirsten Martin is the William P. and Hazel B. White Professor of Technology Ethics at the University of Notre Dame’s Mendoza School of Business. She researches privacy, technology, and corporate responsibility. She has written about privacy and the ethics of technology in leading academic journals across disciplines (Journal of Business Ethics, BEQ, Berkeley Law and Technology Journal, Harvard Journal of Law and Technology, Journal of Legal Studies, Washington University Law Review, Journal of Business Research, etc.) as well as practitioner publications such as MISQ Executive. She is the Technology and Business Ethics editor for the Journal of Business Ethicsand the recipient of three NSF grants for her work on privacy, technology, and ethics. Dr. Martin is also a member of the advisory board for the Future Privacy Forum, a faculty fellow at ND-TEC (Technology Ethics Center), and a faculty affiliate at Northeastern Law’s CLIC. She is regularly asked to speak on privacy and the ethics of big data, including her recent Tedx talk. Her book with Ed Freeman and Bobby Parmar, “The Logic of AND: Responsible Business without Trade-Offs,”was published in Spring 2020. Kirsten earned her B.S. in Engineering from the University of Michigan and her MBA and Ph.D. from the University of Virginia’s Darden Graduate School of Business.    

Mutale Nkonde

Mutale Nkonde is a 2020-2021 Fellow at the Notre Dame Institute for Advanced Study. She is an artificial intelligence policy analyst and founding CEO of AI for the People, a nonprofit creative agency that seeks to use journalism, television, music, and film to challenge the narratives around the assumed social neutrality of machine learning technologies. She is also the CEO and founder of Opps Management LLC, a management consulting agency that works with companies and nonprofits to help them reach their diversity and inclusion goals. Nkonde is a Fellow at the Digital Civil Society Lab at Stanford University and at the Berkman Klein Center of Internet and Society at Harvard University. She has also served as an AI Policy Advisor for the Office of Congresswoman Yvette Clarke where she was part of a team that introduced the Algorithmic Accountability Act, the Deep Fakes Accountability Act, and the No Biometric Barriers to Housing act to the U.S. House of Representatives. She began her career as a broadcast journalist and worked at the British Broadcasting Corporation where she produced long-form documentaries of Contemporary Black British culture for the News & Current Affairs unit. Her research has been published in the Harvard Business Review, the Harvard African American Policy Journal, and by the Data & Society Research Institute.

Francesca Rossi

Francesca Rossi is an IBM fellow and the IBM AI Ethics Global Leader. She is an AI scientist with more than 30 years of experience in AI research, on which she published more than 200 articles in top AI journals and conferences. She co-leads the IBM internal AI ethics board and she actively participate in many global multi- stakeholder initiatives on AI ethics. She is a fellow of both the worldwide association of AI (AAAI) and of the European one (EurAI), and she will be the next president of AAAI.

Kate Vredenburgh

Kate Vredenburgh is an Assistant Professorship in the Department of Philosophy, Logic and Scientific Method at the London School of Economics. She works in the philosophy of social science, political philosophy, and the philosophy of technology, on topics that intersect with ethics, epistemology, and metaphysics. 

Michael Zimmer

Michael Zimmer, Ph.D., is an associate professor in the Department of Computer Science at Marquette University, where he also serves as the Director of Undergraduate Studies, Co-Director of the Interdisciplinary Data Science major, and Director of the Graduate Data Science Certificate. With a multidisciplinary background in communication & Internet studies, science & technology studies, and information policy & ethics, Dr. Zimmer studies the social and ethical dimensions of our contemporary digital ecosystem, with particular interest in digital privacy, data ethics, internet research ethics, and how users understand information flows within and across digital platforms.