Anne Collin received a M.Sc. from Ecole Nationale des Ponts et Chaussées, France in 2016, a M.Sc. in Technology and Policy and a Ph.D. in Aeronautics and Astronautics from the Massachusetts Institute of Technology, Massachusetts, USA in 2016 and 2019. She is a Senior Research Scientist in the Rulebooks team at Motional. Her research interests include complex systems modeling and architecture, optimization, and performance quantification of Artifical Intelligence Systems, taking into account the sociological aspects of their use.

Bryant Walker Smith is an associate professor in the School of Law and (by courtesy) the School of Engineering at the University of South Carolina. He is also an affiliate scholar at the Center for Internet and Society at Stanford Law School and co-director of the University of Michigan Project on Law and Mobility. He previously led the Emerging Technology Law Committee of the Transportation Research Board of the National Academies for six years and served on the US Department of Transportation’s Advisory Committee on Automation in Transportation.

Trained as a lawyer and an engineer, Bryant advises cities, states, countries, and the United Nations on emerging transport technologies. He coauthored the globally influential levels of driving automation, drafted the leading model law for automated driving in the United States, and taught the first legal courses dedicated to automated driving (in 2012), hyperloops, and flying taxis. His students have developed best practices for regulating scooters as well as behavioral “rules of the sidewalk” for robots. Bryant is currently writing on what it means to be a trustworthy company. His publications are available at

Before joining the University of South Carolina, Bryant led the legal aspects of automated driving program at Stanford University, clerked for the Hon. Evan J. Wallach at the United States Court of International Trade, and worked as a fellow at the European Bank for Reconstruction and Development. He holds both an LL.M. in International Legal Studies and a J.D. (cum laude) from New York University School of Law and a B.S. in civil engineering from the University of Wisconsin. Prior to his legal career, Bryant worked as a transportation engineer.

Julian De Freitas is an Assistant Professor of Business Administration in the Marketing Unit, and Director of the Ethical Intelligence Lab, at Harvard Business School. He is also affiliated with the Mind, Brain, and Behavior Initiative at Harvard University. He teaches the first year marketing course in the MBA required curriculum. He grew up in South Africa and earned his BA from Yale, his Masters from Oxford, and his PhD from Harvard. He has also held research positions at Stanford and MIT.  Julian is a cognitive scientist who conducts research on ethical intelligence, at the intersection of psychology, ethics, and artificial intelligence. He studies how the ethical intelligence of consumers influences their attitudes toward companies, and how companies can market in ways that are sensitive to these moral buttons in turn. He studies these relationships through specific case studies, such as the ethics of automated machines, ascriptions of charitability, and corporate essentialism. Studying ethical intelligence can demystify the high-level thoughts and intuitions (aka ‘common sense’) that make humans unique, engender stable institutions in which people coordinate for the greater good, and help us live better lives. Julian has published over 20 articles in leading journals such as Proceedings of the National Academy of Sciences, Trends in Cognitive Sciences, Journal of Experimental Psychology: General, and the International Conference on Machine Learning, and his work has been publicized in venues like Axios, Fast Company, and Scientific American. He has won numerous prizes for his research, teaching, and leadership, including the Rhodes Scholarship, Alpheus Henry Snow Prize (“for the student who has done the most for Yale”), and nine teaching awards, including Harvard College’s Special Commendation (for 10% of teachers in the college). He has consulted with various startup firms and companies, especially in the automated vehicle and mental health industries, including: Perceptive Automata, Motional, May Mobility, Swiss Re, Koa Health, Replika AI, and Brynwood Partners.

Kevin Gay is the Director, Safety Standards Policy at Aurora, the company delivering the benefits of self-driving technology safely, quickly, and broadly. In his role, he heads up Aurora’s approach to industry safety standards including technical engagements with industry standards development organizations as well as development of the internal policies governing the utilization of technical safety standards. He also serves as the Secretary of the IEEE P2846 Working Group, a voting member of the SAE On-Road Automated Driving Committee and the lead for Aurora in the Automated Vehicle Safety Consortium. Prior to Aurora, Kevin led emerging industry safety standards at Uber’s Advanced Technologies Group (ATG). Prior to joining the private sector, Kevin served for 16 years in the U.S. Department of Transportation where he led major initiatives on automated vehicles and Vehicle-to-Everything (V2X) communications technology. At the National Highway Traffic Safety Administration (NHTSA), Kevin was the Senior Advisor for Technology Policy to the Deputy Administrator, and at Federal Highway Administration (FHWA), he was the Chief of Policy at the Intelligent Transportation System Joint Program Office as well as the Acting Director of the Office of Transportation Management. Kevin also spent 10 years at the Volpe National Transportation Systems Center leading technical teams that conducted research around automated and connected vehicles, public-key infrastructure cryptography, program evaluation and analysis, motor carrier safety, and highway crash models. Kevin has a Bachelor of Science in Applied Mathematics from the Georgia Institute of Technology.