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Paper · arXiv

Causal Foundations of Collective Agency

A key challenge for the safety of advanced AI systems is the possibility that multiple simpler agents might inadvertently form a collective agent with capabilities and goals distinct from those of any individual. More generally, determining when a group of agents can be viewed as a unified collective agent is a foundational question in the study of interactions and incentives in both biological and artificial systems. We adopt a behavioral perspective in answering this question, ascribing collective agency to a group when viewing the group's joint actions as rational and goal-directed successfully predicts its behavior. We formalize this perspective on collective agency using causal games...

AuthorsFrederik Hytting Jørgensen, Sebastian Weichwald, Lewis Hammond
Primary categorycs.AI
Published30 April 2026
Last updated at source30 April 2026
cs.AIcs.GTcs.MA
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