The use of artificial intelligence (AI) in government operations presents significant opportunities for the public sector, but also requires appropriate tools and regulatory frameworks to ensure AI systems are procured and used in a safe and responsible manner.
Join us for a fascinating presentation and moderated panel discussion that draw from actual case studies to identify lessons learned about the use of AI systems in governments. Topics will include:
- the challenge of assessing risks for rapidly evolving, complex technology
- the value of pilots and the need for agile regulatory frameworks
- the importance of outcome-based metrics and auditing for fairness and safety
Video: Deciding When and How to use AI in Government
Learn more about the Artificial Intelligence Is Here Series.
- Gillian K. Hadfield, Director, Schwartz Reisman Institute for Technology and Society, Schwartz Reisman Chair in Technology and Society, Professor of Law and Professor of Strategic Management, University of Toronto
- Peter Loewen, Director of the Munk School of Global Affairs and Public Policy, Associate Director Schwartz Reisman Institute for Technology and Society, Professor in the Department of Political Science, University of Toronto
- Cary Coglianese, Edward B. Shils Professor of Law and Professor of Political Science; Director, Penn Program on Regulation, University of Pennsylvania
- Daniel E. Ho, William Benjamin Scott and Luna M. Scott Professor of Law; Professor of Political Science; Senior Fellow, Stanford Institute for Economic Policy Research; Associate Director, Stanford Institute for Human-Centered Artificial Intelligence; Director of the Regulation, Evaluation, and Governance Lab (RegLab), Stanford University
Neil Bouwer, Vice President, Innovation and Skills Development Branch, Canada School of Public Service