2021 Keynotes

Alison Gopnik

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

What AI Can Learn From 4-year-olds

View Abstract

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’

View Abstract

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

Succeeding in Remote-Hybrid Work

View Abstract

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.

Alondra Nelson

Harold F. Linder Professor at the Institute for Advanced Study

A New Roadmap for Science and Society: Mobilizing Evidence and Innovation for Equity

Alondra Nelson is the Harold F. Linder Professor at the Institute for Advanced Study. She currently serves as Deputy Director for Science and Society for the White House Office of Science and Technology Policy. A scholar of science, technology, medicine, and social inequality, Nelson is author, most recently, of The Social Life of DNA: Race, Reparations, and Reconciliation after the Genome. Her books also include Body and Soul: The Black Panther Party and the Fight against Medical Discrimination; Genetics and the Unsettled Past: The Collision of DNA, Race, and History; and Technicolor: Race, Technology, and Everyday Life. She is also editor of “Afrofuturism.”

Frank Pasquale

Professor of Law at the Brooklyn Law School

Two Waves of Algorithmic Accountability for Mental Health Apps

View Abstract

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.