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Normative Equivalence in human-AI Cooperation: Behaviour, Not Identity, Drives Cooperation in Mixed-Agent Groups
This study investigates how the presence of AI agents influences cooperative social norms in small human groups. Contrary to expectations of "machine penalty," the research finds that group behavior and reciprocal dynamics, rather than the AI label, primarily drive cooperation, suggesting a "normative equivalence" between human-AI and all-human groups.