July 31 - Aug 1 2023
Future of AI and Economics
Harvard Business School
Two day workshop to bring the AI and Economics communities together
Three Research Pillars
AI for Economics - How can modern ML and AI advance economics?
Economics for AI - How can economic thinking advance AI techniques and architectures?
AI in the Economy - How do we gain the most value from AI systems in the economy in a responsible way, and how do we model the consequences?
Logistics
Schedule
July 31st - Keynotes - 8:30am - 10:30am
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?
July 31st - Social Impact - 10:30am - 1:45pm
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
July 31st - Models - 1:45pm - 3:45pm
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
July 31st - Policy - 3:45pm - 5:00pm
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
July 31st - Discussion Panel - 5:00pm - 6:00pm
05:00pm - Discussion Panel
July 31st - Reception & Dinner at Harvard Business School - 6:00pm - Onward
06:00pm - Dinner
Aug 1st - Keynotes - 8:30am - 10:30am
08:30am - Breakfast / Welcome
09:00am - Avi Goldfarb - Pause Giant AI Experiments? An economic interpretation
09:45am - Nicole Immorlica - Human-AI Collaboration in Marketplaces
Aug 1st - Markets - 10:30am -1:30pm
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
Aug 1st - Poster Session - 1:20pm - 1:50pm
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
Aug 1st - Invited Talk - 1:50pm - 2:20pm
1:50pm - Hal Varian - Some remarks on AI
Aug 1st - Discussion Panel - 2:20pm - 3:15pm
02:20pm - Discussion Panel
Aug 1st - Concluding Remarks - 3:15pm - 3:20pm
03:15pm - Concluding Remarks
Aug 1st - Social Group Visit at the Harvard Museum - 3:20pm - Onward
03:20pm - Social Group Visit at the Harvard Museum
Organizers
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