05/12/2025 (Friday) 13:00-14:00 E21-G002
Human–AI Interaction in Science Communication: Theoretical Foundations, System Design, and Applied Practice
Abstract:
Generative artificial intelligence is reshaping how scientific knowledge is produced and shared. This lecture explores how human–AI interaction empowers science communication through theory, system design, and practical application. It first outlines the conceptual foundations of AI-assisted science communication, showing how interaction with intelligent systems influences message credibility and public engagement. It then introduces self-developed AI agents that integrate language understanding and adaptive dialogue to co-create scientific narratives. Finally, real-world cases from environmental governance, health communication, and digital education demonstrate how AI-driven systems enhance trust, participation, and understanding. The lecture envisions a new model of intelligent, ethical, and human-centered science communication for the era of generative AI.
Bio:
Bio: Dajun Li is an Assistant Professor at the School of Journalism and Communication, Xiamen University, and a Research Fellow at the Center for Consumption and Society Studies. Holding a Ph.D. from Tsinghua University and a Master’s from Peking University, he specializes in human–AI interaction and intelligent marketing. His work has appeared in Journalism &Mass Communication Quarterly, Science Communication, and Environmental Communication. The first scholar from mainland China to win the AEJMC International Teaching Award (San Francisco, 2025), he develops AI-powered communication agents applied in education, health, governance, and digital communication innovation.
