08:30am - Breakfast
08:50am - Introduction and Welcome
09:00am - Susan Athey - Economics and AI: Progress and Open Questions
09:45am - Tuomas Sandholm - How can AI Inform the Design of Economic Mechanisms and System?
10:30am - Break
10:55am - Daniel Bjorkegren - Welfare Sensitive Machine Learning
11:20am - Raphael Koster - Using AI to build a Sustainable Human Behavior
11:45am - Emily Aiken - Can digital trace data be used to estimate welfare impact?
12:10pm - Bailey Flanigan - Fair algorithms for selecting citizens' assemblies
12:35pm - Lunch
01:45pm - Chara Podimata - Recommending to Strategic Users
02:10pm - Annie Liang - The Transfer Performance of Economic Models
02:35pm - Jesse Perla - Solving Equilibrium Economic Models with Deep Learning
03:00pm - James Wright - Principled Loss Functions for Behavioral Game Theory
03:25pm - Break
03:45pm - Martin Beraja - Artificial Intelligence and Governments: the Good, the Bad, and the Ugly
04:10pm - Maryam Farboodi - A Model of the Data Economy
04:35pm - Roxana Mihet - Consumer Privacy and Value of Consumer Data
05:00pm - Discussion Panel
06:00pm - Dinner
08:30am - Breakfast / Welcome
09:00am - Avi Goldfarb - Pause Giant AI Experiments? An economic interpretation
09:45am - Nicole Immorlica - Human-AI Collaboration in Marketplaces
10:30am - Break
10:55am - Emilio Calvano - Artificial Intelligence, Algorithmic Recommendations and Competition
11:20am - Andreas Haupt - Engineer Design Choices and Algorithmic Collusion
11:45am - Ayelet Israeli - Using GPT for Market Research
12:10pm - John J Horton - Large Language Models as Simulated Economic Agents: What can we learn from Homo Silicus
12:35pm - Lunch
01:20pm - Poster Session
John Dickerson - Neural Auctions Compromise Bidder Information
Nikhil Garg - Reconciling the accuracy-diversity trade-off in recommendation
Mitsuru Igami - Detecting Edgeworth Cycles
Brendan Lucier - Competitive Algorithmic Bidding: Strategic Constraint Management and Bid Dynamics
Sam Manning - GPTs are GPTs: An Early Look at the Labor Market Impact Potential of Large Language Models
Manish Raghavan - The Challenge of Understanding What Users Want: Inconsistent Preferences and Engagement Optimization
Manuel Wuthrich - Representation with Incomplete Votes
Zhe Yuan - Platform AI Market Recommendation Tool and Firm Innovation: A Field Experiment
1:50pm - Hal Varian - Some remarks on AI
02:20pm - Discussion Panel
03:15pm - Concluding Remarks
03:20pm - Social Group Visit at the Harvard Museum
Martino Banchio
Google Research
Elizabeth Bondi-Kelly
MIT CSAIL
Michael Curry
University of Zurich
Chiara Farronato
Harvard Business School
Andrea Tacchetti
Google DeepMind
Stephan Zheng
Asari AI