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Absolutely Interdisciplinary Conference 2022

by Schwartz Reisman Institute for Technology and Society

Absolutely Interdisciplinary 2022 was an academic conference hosted by the Schwartz Reisman Institute for Technology and Society at the University of Toronto. The event aimed to foster interdisciplinary conversations among leading thinkers from various fields to address the challenges presented by artificial intelligence (AI) and other advanced technologies.

The conference covered a range of topics, including the redrawing of data boundaries, explanation and justification in AI, natural and artificial social learning, digital constitutionalism, collective agency in evolution and AI, and building democratic social choice into recommender systems. These sessions brought together experts to discuss the intersection of technology, law, and society.

Notable speakers included Lisa Austin, Boris Babic, Finale Doshi-Velez, Gillian Hadfield, Eric Horvitz, and Aziz Z. Huq, among others. The event provided opportunities for networking and collaboration among professionals from diverse disciplines.

The conference was designed for academics, researchers, policymakers, and industry professionals interested in the ethical and societal implications of AI and technology. Attendees gained insights into emerging research areas and engaged in discussions aimed at promoting human well-being through technological advancement.

Speakers(30)

Alexander Brechalov

Postdoctoral Fellow at Donnelly Center for Cellular and Biomolecular Research, University of Toronto

Alexander Brechalov is a postdoctoral fellow at the Donnelly Centre and the University of Toronto. He works at the intersection of molecular biology and machine learning, focusing on developing new methods to facilitate research in biology and medicine.

Alice Huang

PhD Candidate at Department of Philosophy, University of Toronto

Alice Huang is a PhD candidate interested in social and formal epistemology, as well as the application of computational methods to philosophical reasoning. She also enjoys thinking about metaphysics and consciousness.

Anna Su

Associate Professor, Faculty of Law; Faculty Fellow, Schwartz Reisman Institute at University of Toronto

Anna Su is an associate professor in the Faculty of Law at the University of Toronto and a Schwartz Reisman faculty fellow. Her research includes international human rights law, comparative constitutional law, technology and international law, and law and religion.

Aziz Z. Huq

Frank and Bernice J. Greenberg Professor of Law at University of Chicago

Aziz Z. Huq is a scholar of US and comparative constitutional law, and the Frank and Bernice J. Greenberg Professor of Law at the University of Chicago. His work spans topics from democratic backsliding to regulating AI, and he has an active pro bono practice.

Boris Babic

Assistant Professor, Department of Statistics and Department of Philosophy; Faculty Fellow, Schwartz Reisman Institute at University of Toronto

Boris Babic is an assistant professor in the Departments of Statistics and Philosophy at the University of Toronto, a faculty affiliate at the Schwartz Reisman Institute, and a visiting professor in the Decision Sciences department at INSEAD. His research interests include Bayesian inference, decision-making, and normative questions in the implementation of artificial intelligence and machine learning.

Denis Walsh

Professor, Department of Philosophy; Research Lead, Schwartz Reisman Institute at University of Toronto

Denis Walsh is a philosopher of biology in the Department of Philosophy at the University of Toronto and a research lead at the Schwartz Reisman Institute. His research interests revolve around the interpretation of evolutionary theory and the nature of scientific explanation.

Eric Horvitz

Chief Scientific Officer at Microsoft

Eric Horvitz serves as Microsoft's Chief Scientific Officer, providing leadership on advances and trends in scientific matters, and on issues at the intersection of technology, people, and society. He is recognized for his research on challenges and opportunities with uses of AI technologies amidst the complexities of the open world.

Erina Moon

Master of Information Candidate at Faculty of Information, University of Toronto

Erina Moon is a Master of Information candidate at the University of Toronto, researching within the interdisciplinary area of human-centered data science. She combines social sciences with computational techniques to study how computing can be used for social change in the public sector.

Finale Doshi-Velez

Gordon McKay Professor of Computer Science at Harvard University

Finale Doshi-Velez is a Gordon McKay Professor in Computer Science at the Harvard Paulson School of Engineering and Applied Sciences. Her interests lie at the intersection of machine learning, healthcare, and interpretability. She has published widely, co-founded the Machine Learning for Healthcare Conference, and received an NSF Career Award and Sloan Fellowship.

Gillian K. Hadfield

Professor, Faculty of Law; Director and Chair, Schwartz Reisman Institute at University of Toronto

Gillian Hadfield is the director and chair of the Schwartz Reisman Institute for Technology and Society, a professor of law and strategic management at the University of Toronto, and a senior policy advisor at OpenAI. Her research focuses on designing innovative legal and regulatory systems for AI and computational models of human normative systems.

Event Details

Date
September 15-16, 2022
2 days
Location
🇨🇦 Toronto, Canada
Schwartz Reisman Innovation Campus, University of Toronto
Audience
Academics, researchers, policymakers, industry professionals