The Science of the Predicted Human talk series: Gillian Hadfield

We are delighted to host the Professor Gillian Hadfield (University of Toronto) for a talk in our series on The Science of the Predicted Human. Professor Hadfield is a celebrated scholar who is currently working on innovative designs for legal and regulatory systems for AI and other complex global technologies.

Please join us for this event on June 6, 9am in Goth. Aud. 1, Gothersgade 140.

Title
The Future of AI Governance

Abstract
Progress in AI is moving faster than many of us expected and the challenge of ensuring AI is safe and beneficial is mounting. Existing legal and regulatory institutions, including pending legislation such as the E.U. AI Act, are unlikely to meet this challenge, raising the urgency of bold new thinking about how to regulate.  In this talk, I'll discuss these challenges and present concrete proposals for new approaches to AI governance.

About Gillian Hadfield
Gillian K. Hadfield, B.A. (Hons.) Queens, J.D., M.A., Ph.D. (Economics) Stanford, is Professor of Law, Professor of Strategic Management and holds the Schwartz Reisman Chair in Technology and Society at the University of Toronto and a CIFAR AI Chair at the Vector Institute. She is the inaugural Director of the Schwartz Reisman Institute for Technology and Society. Her current 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. Professor Hadfield is a Faculty Affiliate at the Center for Human-Compatible AI at the University of California Berkeley and Senior Policy Advisor at OpenAI in San Francisco. 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.

The Predicted Human
Being human in 2023 implies being the target of a vast number of predictive infrastructures. In healthcare, algorithms predict not only potential pharmacological cures to disease but also their possible future incidence of those diseases. In governance, citizens are exposed to algorithms that predict - not only their day-to-day behaviors to craft better policy - but also to algorithms that attempt to predict, shape and manipulate their political attitudes and behaviors. In education, children’s emotional and intellectual development is increasingly the product of at-home and at-school interventions shaped around personalized algorithms. And humans worldwide are increasingly subject to advertising and marketing algorithms whose goal is to target them with specific products and ideas they will find palatable. Algorithms are everywhere – as are their intended as well as unintended consequences. The series is arranged with generous support by the Villum Foundation and the Pioneer Center for Artificial Intelligence.