Algorithmic Collective Action A Workshop co-located with NeurIPS 2025 in San Diego.
How can participants steer AI systems toward a common good?
This workshop explores collective strategies for shaping outcomes in socio-technical systems from below. We welcome contributions that examine algorithmic collective action through the lense of machine learning, statistics, optimization, economics, and the humanities. Submissions may address theoretical foundations, empirical studies, or practical challenges that advance our understanding of how coordinated efforts can influence the development and deployment of AI systems.
Speakers
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Assistant Professor
Northeastern University
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Assistant Professor
ETH Zürich
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Incoming Assistant Professor
Stanford University
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Director of Research
Distributed AI Research Institute (DAIR)
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Associate Professor
TU Delft
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Associate Professor
Western University
Organisers
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University of Waterloo
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Simon Fraser University
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MPI-IS and ELLIS Institute Tübingen
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Carnegie Mellon University
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University of Texas at Austin
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École de Technologie Supérieure
Reviewers
- Elliot Creager — U of Waterloo
- Nicholas Vincent — Simon Fraser U
- Celestine Mendler-Dünner — MPI Tübingen
- Williiam Agnew — CMU
- Hanlin Li — U of Texas
- Ulrich Aïvodji — ETS Montreal
- Rushabh Solanki — U of Waterloo
- Meghana Bhange — ETS Montreal
- Prakhar Ganesh — McGill
- Khaoula Chehbouni — McGill
- Parth Sarin — Stanford
- Afaf Taïk — Université de Sherbrooke
- Joachim Baumann — University of Zurich
- Sara Fish — Harvard
- Qing Xiao — CMU
- Etienne Gauthier — Inria
- Julien Ferry — Polytechnique Montreal
- Heber Hwang Arcolezi — Inria
- Patrik Kenfack — ETS Montreal
- Harry Cheon — UCSD
- Meredith Stewart — UCSD
- Shreyas Kadekodi — UCSD
- Blair Attard-Frost — U of Toronto
Reviewer Volunteer Form
If you would like to help as a reviewer, please fill out the form below.