An annual academic conference hosted by the Schwartz Reisman Institute for Technology and Society, Absolutely Interdisciplinary convenes leading thinkers from a rich variety of fields to engage in conversations that encourage innovation and inspire new insights.
Connecting technical researchers, social scientists, and humanists, Absolutely Interdisciplinary fosters new ways of thinking about the challenges presented by artificial intelligence and other powerful data-driven technologies to build a future that promotes human well-being—for everyone.
Conference participants will contribute to and learn about emerging research areas and new questions to explore. Each session pairs researchers from different disciplines to address a common question and facilitate a group discussion. By identifying people working on similar questions from different perspectives, we will foster conversations that develop the interdisciplinary approaches and research questions needed to understand how AI can be made to align with human values.
Venue
June 20th: Desautels Hall, Rotman School of Management, University of Toronto. Classroom 1065, second floor. 105 St George St., Toronto.
June 21–21st: Campbell Conference Facility, University of Toronto. 1 Devonshire Place, Toronto.
Main conference sessions will be broadcast online via Zoom webinar.
Schedule
June 20, 2023: SRI Graduate Workshop: The Limits of AI
In-person only at Desautels Hall, Rotman School of Management
9:30 AM – 1:00 PM | SRI Graduate Workshop (closed session, invitation only)
1:00 PM – 2:00 PM | Roundtable 1: How might AI surprise us?
2:30 PM – 3:30 PM | Roundtable 2: Do we want to limit AI?
3:30 PM – 4:30 PM | Reception
June 21, 2023: Absolutely Interdisciplinary Day 1
In-person at Campbell Conference Facility and broadcast online
9:25 AM – 9:30 AM | Opening remarks
9:30 AM – 10:30 AM | Keynote: Blaise Agüera y Arcas
11:00 AM – 1:00 PM | Session 1: Testing social cognitive theory with AI
2:00 PM – 3:00 PM | Session 2: Value alignment
3:15 PM – 5:15 PM | Session 3: Large language models
5:15 PM – 6:15 PM | Reception
June 22, 2023: Absolutely Interdisciplinary Day 2
In-person at Campbell Conference Facility and broadcast online
9:00 AM – 9:05 AM | Opening remarks
9:05 AM – 11:00 AM | Session 4: The reward hypothesis
11:30 AM – 1:30 PM | Session 5: Machine learning in the workplace
2:30 PM – 4:30 PM | Session 6: AI and creativity
4:30 PM – 5:00 PM | Closing remarks
5:00 PM – 6:00 PM | Reception
Visit our conference website for the full schedule.
Speakers
Blaise Agüera y Arcas, VP and Fellow, Google Research.
William Cunningham, professor of psychology, University of Toronto.
Avi Goldfarb, Rotman Chair in Artificial Intelligence and Healthcare and professor of marketing, University of Toronto; chief data scientist, Creative Destruction Lab; research lead, Schwartz Reisman Institute; faculty affiliate, Vector Institute.
Julia Haas, senior research scientist, DeepMind.
Gillian Hadfield, professor of law and economics, University of Toronto; director, Schwartz Reisman Institute; CIFAR AI Chair, Vector Institute.
N. Katherine Hayles, distinguished research professor of English, University of California; James B. Duke Professor of Literature Emerita, Duke University.
Joel Leibo, research scientist, DeepMind.
Nicolas Papernot, assistant professor of computer science, University of Toronto; faculty affiliate, Schwartz Reisman Institute; faculty affiliate, Vector Institute.
Daniel Rock, assistant professor of operations, information, and decisions, University of Pennsylvania.
Frank Rudzicz, associate professor of computer science, University of Toronto and Dalhousie University; scientist, St. Michael’s Hospital; director of AI, Surgical Safety Technologies Inc.; faculty affiliate, Vector Institute.
Avery Slater, assistant professor, University of Toronto; research lead, Schwartz Reisman Institute.
Richard Sutton, chief scientific advisor, Amii; professor, University of Alberta; distinguished research scientist, DeepMind; CIFAR AI Chair.