Advancing Social Intelligence in AI Agents: Technical Challenges and Open Questions

arXiv:2404.11023v1 Announce Type: cross
Abstract: Building socially-intelligent AI agents (Social-AI) is a multidisciplinary, multimodal research goal that involves creating agents that can sense, perceive, reason about, learn from, and respond to affect, behavior, and cognition of other agents (human or artificial). Progress towards Social-AI has accelerated in the past decade across several computing communities, including natural language processing, machine learning, robotics, human-machine interaction, computer vision, and speech. Natural language processing, in particular, has been prominent in Social-AI research, as language …

abstract agents ai agents artificial arxiv behavior building challenges cognition cs.cl cs.hc cs.lg human intelligence intelligent learn multimodal progress questions reason research sense social technical type