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2021 Keynotes

Alison Gopnik

Professor of Psychology and Affiliate Professor of Philosophy, University of California at Berkeley

What 4-year-olds Can Do That AI Can’t (Yet): Model-building, exploration and social learning

Alison Gopnik is a professor of psychology and affiliate professor of philosophy at the University of California at Berkeley, and a member of the Berkeley AI Research Group.  She is a leader in the study of cognitive science and of children’s learning and development and was one of the founders of the field of “theory of mind.”  She is an elected member of the Society of Experimental Psychologists and the American Academy of Arts and Sciences and a Cognitive Science Society, American Association for the Advancement of Science, and Guggenheim Fellow.  She is the author or coauthor of over 120 journal articles and several critically acclaimed books, and her work has been continuously supported by the National Science Foundation. 

Rosemary Luckin

Professor of Learner Centred Design at University College London

Two Reasons Why It Matters for Education that AI is Intelligence, ‘But Not As We Know It’

Rosemary Luckin is Professor of Learner Centred Design at UCL Knowledge Lab. Her research involves blending theories from the learning sciences with techniques from Artificial Intelligence. She is author of Machine Learning and Human Intelligence: The Future of Education in the21st Century (2018); director of EDUCATE Ventures Research Limited, a London accelerator for educational technology start-ups; president of the International Society for AI in Education; co-founder of the Institute for Ethical AI in Education; member of the UK Office for Students Horizon Scanning panel; adviser to the Topol review into the NHS workforce; and one of the 20 most influential people in Education (Seldon List 2017).

Tsedal Neeley

Naylor Fitzhugh Professor of Business Administration at Harvard Business School

The Future of Digital Work

Tsedal Neeley is the Naylor Fitzhugh Professor of Business Administration at the Harvard Business School. Her work focuses on how leaders can scale their organizations by developing and implementing global and digital strategies. Tsedal is a recipient of the prestigious Charles M. Williams Award for Outstanding Teaching in Executive Education and the Greenhill Award for outstanding contributions to Harvard Business School. Her recent book, Remote Work Revolution: Succeeding from Anywhere, provides remote workers and leaders with the best practices necessary to perform at the highest levels in their organizations.

Frank Pasquale

Professor of Law at the Brooklyn Law School

The Political Economy of Affective Computing: How Reimbursement Policies and Malpractice Law May Shape the Future of Chatbot Therapy

Frank Pasquale is an expert on the law of artificial intelligence (AI), algorithms, and machine learning. He is a Professor of Law at Brooklyn Law School, a Visiting Scholar at the AI Now Institute, an Affiliate Fellow at Yale University’s Information Society Project, and a member of the American Law Institute. He is co-editor-in-chief of the Journal of Cross-Disciplinary Research in Computational Law (CRCL), based in the Netherlands, and a member of an Australian Research Council (ARC) Centre of Excellence on Automated Decision-Making & Society (ADM+S). His book The Black Box Society: The Secret Algorithms That Control Money and Information (Harvard University Press 2015) has been recognized internationally as a landmark study on the law and political economy of information asymmetries. His latest book, New Laws of Robotics: Defending Human Expertise in the Age of AI (Harvard University Press 2020) develops a new political economy of automation, in which human capacities are the irreplaceable center of an inclusive economy.