Fangqi Zhang

In the era of information explosion, science communicators face challenges in content production efficiency, communication accuracy, and audience coverage. The rapid development of AI technology has brought unprecedented opportunities for science communication. However, when using AI, science communicators also encounter risks such as content distortion and ethical pitfalls. This study explores how science communicators can actively reconstruct their workflows and develop effective "human-AI collaboration strategies". By analyzing the experience cases of Chinese science communicators using domestic platforms for human-AI collaboration, it reveals the current predicaments and bottlenecks, providing a basis for workflow reconstruction. The study elaborates on the advantages of AI in science communication, such as its strong content creation assistance, efficient data processing, and precise intelligent recommendation and personalized communication capabilities. It also examines the potential risks, including content distortion, ethical pitfalls, and ambiguous communication responsibilities. Based on this, the study proposes strategies for reconstructing science communicators' workflows, covering AI-based topic planning optimization, AI-assisted content creation process reconstruction, integration of AI into communication channels and operation strategies, and upgraded communication - effectiveness evaluation based on AI data. It also emphasizes the development of human - AI collaboration strategies, including team building, capacity building, establishment of collaboration processes and norms, and risk prevention mechanisms. Finally, the study summarizes the research, highlighting the profound impact of this transformation on the science communication industry and its significance in reshaping the role of science communicators. It also outlines future research directions. This study aims to provide theoretical guidance and practical references for science communicators, helping them transition from "tool usage" to "intelligent collaboration", maximize AI advantages while effectively avoiding risks, enhance the efficiency and quality of science communication, and promote the development of the science communication industry.