Speakers

Kay Firth-Butterfield
Visiting Scholar, Lucy Family Institute for Data & Society, University of Notre Dame
Kay Firth-Butterfield is the CEO of Good Tech Advisory. In 2024 she was a TIME 100 Impact Awardee 2024, Whos Who Emerging Innovator, recognized in Who’s Who in America & Forbes 50 over 50 . Her new book “Co-Existing with AI: A Guide to living loving and working with AI will be published by Wiley in Nov. 2025. She is the former Head of Artificial Intelligence & Quantum and member of the Executive Committee at the World Economic Forum and is one of the foremost experts in the world on the governance of AI. She is a Barrister, former Judge and Professor, technologist and entrepreneur who has an abiding interest in how humanity can benefit from new technologies, especially AI. She was the world’s first Chief AI Ethics officer in 2014. Kay is author of books on Human Rights, AI and Modern Slavery, her new book “Co-existing with AI – A Guide” will be published in Nov 2025. She is a board member of many renowned organisations including the Polaris Council for the Government Accountability Office (USA), the Advisory Board for UNESCO International Research Centre on AI, The Advisory Boards of SwissRE & Fathom and Board of EarthSpeciesProject. She is an Executive Advisor to the Cantellus Group, a Visiting Scholar at the University of Notre Dame and a Fellow at New America in their Future of Work and Innovation team. She serves on the advisory board of various international endeavours in Responsible AI including the OECD/IEEE Global Trust Challenge & UKRAI TAS Hub. She has been consistently recognized as a leading woman in AI and Leadership, including by the New York Times.

Nicol Turner Lee
Senior Fellow and Director, Center for Technology Innovation, Brookings Institution
Dr. Nicol Turner Lee is a senior fellow in Governance Studies, the director of the Center for Technology Innovation (CTI) and co-editor of the TechTank blog and podcast at the Brookings Institution, which is a global think tank headquartered in Washington, D.C. She is also the founder of the AI Equity Lab housed within CTI. Dr. Turner Lee’s research encompasses equitable access to technology across the U.S. and abroad. Her portfolio also includes leading research and public policy work focused on the identification and mitigation of online biases in artificial intelligence systems. She is the author of the book, Digitally Invisible: How the Internet is Creating the New Underclass (Brookings Press, 2024), and has appeared throughout various news media, testified before Congress and international global governance bodies, and written extensively on tech and telecom issues. She has been recognized for distinguished career contributions by the American Sociological Association at the annual conference. She has her B.A. from Colgate University, and her Ph.D. from Northwestern University.

Suresh Venkatasubramanian
Professor of Data Science and Computer Science, Professor of Humanities & Interim Director of the Data Science Institute, Brown University
Suresh Venkatasubramanian directs the Center for Technological Responsibility, Reimagination, and Redesign (CNTR) with the Data Science Institute at Brown University, and is a Professor of Computer Science and Data Science. Suresh’s background is as a computer scientist and his current research interests lie in algorithmic fairness, and more generally the impact of automated decision-making systems in society.
Suresh recently finished a stint in the Biden-Harris administration, where he served as Assistant Director for Science and Justice in the White House Office of Science and Technology Policy. In that capacity, he helped co-author the Blueprint for an AI BIll of Rights.
Prior to Brown University, Suresh was at the University of Utah, where as an assistant professor he was the John and Marva Warnock Assistant Professor. He has received a CAREER award from the NSF for his work in the geometry of probability, a test-of-time award at ICDE 2017 for his work in privacy, and a KAIS Journal award for his work on auditing black-box models. His research on algorithmic fairness has received press coverage across the globe, including NPR’s Science Friday, NBC, and CNN, as well as in other media outlets. He is a past member of the Computing Community Consortium Council of the CRA, spent 4 years (2017-2021) as a member of the board of the ACLU in Utah, and is a past member of New York City’s Failure to Appear Tool (FTA) Research Advisory Council, the Research Advisory Council for the First Judicial District of Pennsylvania and the Utah State Auditor’s Commission on protecting privacy and preventing discrimination. He was recently named by Fast Company to their AI20 list of thinkers shaping the world of generative AI.

Krishna Udayakumar
Founding Director, Duke Global Health Innovation Center; Executive Director, Innovations in Healthcare