Analysis of the Underlying Logic and Participating Subject Functions of Artificial Intelligence-Generated Science Content
The content creation in science popularization led by artificial intelligence means that science popularization content production has entered a brand new stage of development.This paper analyzes the current situation and challenges in the development of AI-Generated science popularization content,the underlying logic of AI-Generated science popularization content from the technical paths of large model pre-training,vertical domain model fine-tuning,and popular science content generation,as well as the roles and functions of the three types of science popularization content producers,namely professional content producers,occupational content producers,and the public,in the process of collaborating with AI to create science popularization content.Based on the results of the study,this paper suggests that in order to realize the high-quality development of science popularization,it is necessary to carry out the"AI+"action in the field of science popularization,promote the in-depth fusion of AI and science popularization,and build a new paradigm of human-machine collaboration and multiple co-creation of intelligent science popularization content creation,so as to provide an intelligent impetus for improving the scientific quality of all the people.