AI Persuasive Framing in Collective Dilemmas
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Computer Science > Computers and Society
Title:AI Persuasive Framing in Collective Dilemmas
Abstract:AI agents are promising tools that can act as flexible behavioral nudges to enhance human cooperation in addressing large-scale societal problems. However, evidence on whether AI agents can effectively boost cooperation remains mixed. We recruited 1,283 participants to play iterated Collective Risk Games in small groups, testing whether AI assistants could nudge participants toward cooperation. By using persuasive framing personalized to each player's Social Value Orientation profile, the AI interventions significantly increased contributions and group success rates. These cooperative effects were short-lived, however, fading after the first few rounds. Strikingly, when the AI treatments were reconfigured to promote selfish behavior through exculpatory framing, the negative effects on contributions and group success were larger and substantially more persistent, particularly for personalized interventions. This asymmetry between prosocial and antisocial persuasion highlights the dual-use risks of AI systems designed to influence group behavior in collective action settings.
| Comments: | The first two authors contributed equally to this research. The article contains 20 pages, 10 figures, and 2 tables |
| Subjects: | Computers and Society (cs.CY); Computation and Language (cs.CL); Human-Computer Interaction (cs.HC); Physics and Society (physics.soc-ph) |
| Cite as: | arXiv:2606.27951 [cs.CY] |
| (or arXiv:2606.27951v1 [cs.CY] for this version) | |
| https://doi.org/10.48550/arXiv.2606.27951
arXiv-issued DOI via DataCite (pending registration)
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