Incentive-Based
AI Alignment
EC'26 Workshop - Rome, July 6, 2026
Room: Iacopone da Todi
AI alignment, defined broadly as the correspondence between AI behavior and human goals, is emerging as one of the central challenges in the deployment of AI systems. This workshop focuses on incentive-based approaches to AI alignment, drawing on ideas at the intersection of economics, theoretical computer science, and machine learning. We plan a program featuring plenary talks, short spotlight talks, a poster session, and a discussion of key research directions.
Call for submissions (closed).
Yale and Microsoft Research
Caltech
Toulouse School of Economics
Tel Aviv University
For inquiries, please contact: ec26.alignment.workshop@gmail.com