A game-theoretic model shows that individually rational adoption of generative AI causes model collapse that reduces collective social welfare for important tasks, with habit formation creating spillovers from low-stakes to high-value domains.
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In synchronous text group interactions, humans failed to identify embedded AI agents above chance despite machine-detectable behavioral differences between AI and humans.
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Generative artificial intelligence reduces social welfare through model collapse
A game-theoretic model shows that individually rational adoption of generative AI causes model collapse that reduces collective social welfare for important tasks, with habit formation creating spillovers from low-stakes to high-value domains.
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Socially fluent AI decouples conversational signals from source identity in online interaction
In synchronous text group interactions, humans failed to identify embedded AI agents above chance despite machine-detectable behavioral differences between AI and humans.