It’s been one year since the launch of chatGPT - how has regulation and policy evolved since then? And where does it need to go?
Recently appointed a Schmidt Futures AI2050 Senior Fellow, Professor Gillian Hadfield is a scholar of law and economics with a focus on the intersection of legal system design and the governance of AI.
She is currently spending her time in an area of urgent importance for humanity: 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 machine learning systems that understand and respond to human norms.
She is the director of the Schwartz Reisman Institute for Technology and Society, Schwartz Reisman Chair in Technology and Society, professor of law and of strategic management at the University of Toronto. Professor Hadfield was a Senior Policy Advisor for OpenAI, and is an advisor to courts, governments and several organizations and technology companies engaged in innovating new ways to make law and policy smarter, more accessible, and more responsive to technology and artificial intelligence.
We chat with Gillian about how she frames the two different challenges at hand with AI: conventional risks and frontier risks, how we build regulatory infrastructure that interfaces well with these new technologies, as well as the importance of interdisciplinary teamwork to solve these complex problems.