Algorithmic Collective Action
Elliot Creager · Nicholas Vincent · Celestine Mendler-Dünner · William Agnew · Hanlin Li · Ulrich Aïvodji
Abstract
The study of collective action has a long history in economics and sociology as a way for groups of people to impact markets and the political arena. Algorithmic collective action focuses on the study of such coordinated efforts in algorithmically-mediated sociotechnical systems. How can participants of AI systems coordinate towards a common good? We offer a platform to discuss new ideas and help define the foundational research directions for this emerging topic through interdisciplinary discussions between core ML researchers, scholars from the social sciences, community stakeholders and advocates.
Schedule
Timezone: America/Los_Angeles
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