A two-day interdisciplinary workshop on incentives, privacy, fairness, and the broader societal design of AI.
AI is rapidly reshaping decision-making across healthcare, finance, education, energy, and public policy. Yet its promise is matched by pressing societal challenges: how to design systems that are robust, ethical, aligned with human values, and respectful of privacy and fairness. Meeting these challenges requires attention to both algorithms and the social contexts in which they are deployed.
This workshop convenes researchers from across disciplines to advance these discussions. By bringing together perspectives from computer science, engineering, economics, and the social sciences, it aims to foster dialogue, collaboration, and innovation.
Talks from researchers working across AI, economics, privacy, and algorithmic fairness.
A poster session for graduate students and postdocs to share work and meet the speakers.
Designed to encourage conversation across methods, applications, and institutional settings.
A limited number of travel grants for students and postdocs.
Complete the registration form by June 12, 2026 to attend the workshop. Registration is free.
We will host one poster session open to graduate students and postdocs. Indicate your interest in the registration form.
A limited number of $500 travel grants are available for graduate students and postdocs, with priority given to poster presenters.
For poster session or travel grant consideration, please register by May 29, 2026.
Workshop organizers, sponsors, and the main contact for logistics.

Computer Science
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Economics
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Computer Science
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Computer Science
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Computer Science and Statistics
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Electrical and Computer Engineering
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