Caring Without Feeling: Affective Dynamics as the Control Layer of Human-AI Agent Collaboration
A new review paper published on arXiv explores the role of affective dynamics in human-AI agent collaboration. It proposes a framework that views affect not as an internal AI property, but as a coordination layer for humans and agents to negotiate capability, uncertainty, and responsibility. This framework aims to provide a foundation for better measurement, design, and governance of AI systems that exhibit emotion-like behaviors. AI
IMPACT This framework could lead to more trustworthy and effectively governed AI agents by clarifying how affective cues influence human reliance and decision-making.