Gillian Hadfield
Appointment
Canada CIFAR AI Chair
Pan-Canadian AI Strategy
About
Appointed Canada CIFAR AI Chair – 2022
Gillian Hadfield is a Canada CIFAR AI Chair at the Vector Institute. Her research is focused on the challenge of AI governance, the AI alignment problem (getting AI systems to do what human communities want them to) and computational models to analyze the phenomenon and characteristics of normativity and legal order. She studies how our existing legal and regulatory infrastructure struggles to keep up with the challenges of the major transformation to economic and social life brought by globalization, digitization, and advanced technologies like AI, and designs next generation methods of regulation that can ensure this transformation continues to achieve human goals of fairness, stability, prosperity, and human dignity.
Hadfield is deeply committed to furthering the goal of integrating social science and humanistic insights and methods with computer science and technology to ensure that our rapidly changing world is not designed exclusively by technologists and private technology platforms and that technology delivers on its promise of improving human welfare.
Awards
- The Bellagio Centre Residency Award, Reinventing global governance for AI, Rockefeller Foundation, August – September 2022
- Mundell Medal for Excellence in Legal Writing (Rules for a Flat World: Why Humans Invented Law and how to Reinvent It for a Complex Global Economy), 2019
- Phi Kappa Phi, Faculty Recognition Award, 2018
- Fellow, Center for Advanced Study in the Behavioral Sciences at Stanford, 2006-2007; 2010- 2011
- Medal in Economics, Queen’s University, 1983
Relevant Publications
- Köster, R., Hadfield-Menell, D., Everett, R., Weidinger, L., Hadfield, G.K., Leibo, J.Z. (2022). Spurious normativity enhances learning of compliance and enforcement behavior in artificial agents. Proceedings of the National Academy of Sciences 119, e2106028118.
- Hadfield-Menell, D., & Hadfield, G.K. (2019). Incomplete Contracting and AI Alignment. Proceedings of the 2019 AAAI/ACM Conference on AI, Ethics, and Society.
- Hadfield-Menell, D., Andrus, M., & Hadfield, G.K. (2019). Legible Normativity for AI Alignment: The Value of Silly Rules. Proceedings of the 2019 AAAI/ACM Conference on AI, Ethics, and Society.
- Hadfield, G.K. (2017). Rules for a Flat World: Why Humans Invented Law and How to Reinvent It for a Complex Global Economy. Oxford University Press.
- Hadfield, Gillian K. and Weingast, Barry R., Microfoundations of the Rule of Law (May 2014). Annual Review of Political Science, Vol. 17, pp. 21-42, 2014. http://dx.doi.org/10.1146/annurev-polisci-100711-135226