Drawing on a 13-person expert workshop, the paper argues that governing interactive AI requires outcome-focused regulation grounded in longitudinal, mixed-method behavioral evidence about evolving human-AI relationships.
In Proceedings of the 2024 CHI Conference on Human Factors in Computing Systems, CHI ’24
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Interactive AI and Human Behavior: Challenges and Pathways for AI Governance
Drawing on a 13-person expert workshop, the paper argues that governing interactive AI requires outcome-focused regulation grounded in longitudinal, mixed-method behavioral evidence about evolving human-AI relationships.