Seminar Series
AI-SDM invites you to engage in an intellectual discourse through our biweekly seminar series. This interactive forum serves as a cornerstone for collaboration and knowledge exchange, convening the Institute's investigators, postdocs, and graduate students alongside preeminent guest speakers from academia, industry, and government entities.
Each session presents an opportunity for remote and in-person attendees to delve into the Institute's cutting-edge research at the nexus of artificial intelligence and societal decision-making. Sessions are further enriched by stimulating Q&A sessions and, of course, delectable refreshments for our in-person audience. We invite you to engage, learn, and contribute to the advancement of AI for the betterment of society.
Details regarding past and future seminars can be found on our Events calendar. Subscribe to our public email list below to receive timely reminders and updates on upcoming seminars.
Seminar Video Library
Giacomo De Nicola: Harmful Algal Blooms and Their Impact on Marine Food Poisonings in Madagascar
Tom Griffiths: Using Machine Learning and Psychology to Predict and Understand Human Decisions
Terri Adams: The Role of Uncertainty in Decision-Making During High Consequential Events
Ananya Rao: Heterogeneous Multi-Agent Coordination for Disaster Response
Valerie Chen: Effective Human-AI Interactions in an Evolving AI Landscape
Alex John London: When AI Can No Longer Help: Agency Transfer Agreements for Assistive AI Systems
Nikhil Garg: Engineering Societal Systems for Efficiency and Equity
Bryan Wilder: Predictive vs Causal Targeting of Social Interventions
Thomas Manzini: CRASAR-U-DROIDs: A Large Scale Benchmark Dataset for Building Alignment and Damage Assessment in Georectified sUAS Imagery
Youngseog Chung: Methods for Calibrated Uncertainty Quantification in Probabilistic Regression
Howie Choset: Making Large Dimensional Problems Small Again
Ariel Procaccia: Generative Social Choice
Gretchen Chapman: Messages, Mores, Mandates, and Misunderstandings in Immunization
Christopher Dancy: ML+Optimization: Computational Cognitive Systems to Think Through the Human in Human-AI Interactions
Milind Tambe: ML+Optimization: Driving Social Impact in Public Health and Conservation
Simon Du: When are Offline Multi-Agent Games Solvable?
Kathryn Schaber: An Outbreak Simulation Game for Intervention Policy Decisions
Aarti Singh: Leveraging Human Factors in Autonomous Decision Making
Aaditya Ramdas: Merging Uncertainty Sets via Majority Vote
Paul Lehner: When Is Using AI the Rational Choice?
Bryan Wilder: ML for Public Health Decision Making
Robin Murphy: Decision-Making from Drone Imagery in Disaster Management
Kun Zhang: Causal Representation Learning & Its Connection to Decision Making
Coty Gonzalez: Building Human-Like Artificial Agents: Advances from a Cognitive Computational Decision Science Perspective
Aarti Singh: Introduction to AI Institute for Societal Decision Making (AI-SDM)
This project is supported by the U.S. National Science Foundation under award number 2229881. Any opinions, findings, conclusions, or recommendations expressed in this material are those of the authors and do not necessarily reflect the views of the U.S. National Science Foundation. More information on the National AI Research Institutes can be found at aiinstitutes.org.