Gillian Hadfield

Gillian K. Hadfield is an economist, legal scholar and a computational social scientist pondering how humans build the normative world and how to make a world with AI better for all. She has recently joined Johns Hopkins University, where she is jointly appointed to the faculties of the School of Government and Policy and of the Department of Computer Science at the Whiting School of Engineering. Hadfield is also a Canada CIFAR AI Chair at the Vector Institute for Artificial Intelligence and a Schmidt Sciences AI2050 Senior Fellow. Hadfield’s research is focused on innovative design for legal and regulatory systems for AI and other complex global technologies; computational models of human normative systems; and working with machine learning researchers to build ML systems that understand and respond to human norms. She is a faculty affiliate at the Center for Human-Compatible AI at the University of California Berkeley and she was previously the inaugural Director (2019-2023) and Chair (2019-2024) of the Schwartz Reisman Institute for Technology and Society at the University of Toronto, and a senior policy advisor at OpenAI. Her book Rules for a Flat World: Why Humans Invented Law and How to Reinvent It for a Complex Global Economy was published by Oxford University Press in 2017; a paperback edition with a new prologue on AI was published in 2020 and an audiobook version released in 2021.