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Absolutely Interdisciplinary Conference 2024

by Schwartz Reisman Institute for Technology and Society

The Absolutely Interdisciplinary Conference 2024 is an annual academic event hosted by the Schwartz Reisman Institute for Technology and Society at the University of Toronto. This conference brings together leading thinkers from diverse fields to engage in conversations that encourage innovation and inspire new insights into the challenges presented by artificial intelligence (AI) and other powerful technologies.

The 2024 conference, held from May 6 to May 8, featured sessions on topics such as AI in healthcare, value alignment for harmful AI, online safety and content moderation, sustainable cities, human-machine coexistence, AI safety cases, and the future of democracy. Notable sessions included "Innovating care: An interdisciplinary dialogue on AI in healthcare," "Harming virtuously: Value alignment for harmful AI," and "AI and the future of democracy."

The event provided ample networking opportunities, including receptions at the end of each day. The conference concluded with the Ian P. Sharp Lecture delivered by Beth Simone Noveck, titled "From ballots to bots: AI’s transformative role in democratic societies."

This conference is ideal for AI researchers, social scientists, humanists, policymakers, and industry professionals interested in exploring interdisciplinary approaches to AI governance, risk, and safety. Attendees gain valuable insights into emerging research areas and engage in discussions that foster interdisciplinary connections.

Speakers(24)

Ashton Anderson

Associate Professor, Department of Computer Science at University of Toronto

Ashton Anderson is an associate professor of computer science at the University of Toronto and a research lead at the Schwartz Reisman Institute for Technology and Society. His work bridges computer science and the social sciences.

Avi Goldfarb

Beth Coleman

Associate Professor, Institute of Communication, Culture, Information and Technology at University of Toronto

Beth Coleman is an associate professor at the University of Toronto, focusing on smart technology, machine learning, urban data, and civic engagement. She is a research lead on AI policy and praxis at the Schwartz Reisman Institute for Technology and Society.

Branka Marijan

Senior Researcher at Project Ploughshares

Branka Marijan is a senior researcher at Project Ploughshares, focusing on the military and security implications of emerging technologies, including autonomous weapons systems and AI in warfare.

Bree McEwan

Associate Professor, Institute of Communication, Culture, Information and Technology at University of Toronto

Bree McEwan is an associate professor at the University of Toronto and associate director for the Data Sciences Institute. Her research focuses on the social implications of digital communication technologies.

Christy Prada

Daniel Buchman

Associate Professor, Dalla Lana School of Public Health at University of Toronto

Daniel Buchman is a bioethicist and scientist at the Centre for Addiction and Mental Health (CAMH) and an associate professor at the University of Toronto’s Dalla Lana School of Public Health. His research explores ethical issues at the intersection of clinical practice and population health.

Dr. Mamatha Bhat

Assistant Professor, Department of Medicine at University of Toronto

Dr. Mamatha Bhat is a hepatologist and clinician-scientist at UHN’s Ajmera Transplant Centre and an assistant professor in the Department of Medicine at the University of Toronto. Her research aims to improve long-term outcomes of liver transplantation through precision medicine.

Harper Reed

Huili Chen

Research Fellow at Berkman Klein Center for Internet & Society, Harvard University

Huili Chen is a multidisciplinary researcher with a PhD from MIT Media Lab, currently a research fellow at Harvard University's Berkman Klein Center for Internet & Society. Her work integrates computer science, psychology, and design to explore human-machine interaction.

Event Details

Date
September 15-16, 2024
2 days
Location
🇨🇦 Toronto, Canada
Schwartz Reisman Innovation Campus, University of Toronto
Audience
AI researchers, social scientists, humanists, policymakers, industry professionals

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