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Analysis of the Underlying Logic and Participating Subject Functions of Artificial Intelligence-Generated Science Content
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Shen Zhou1, 2, Meili Tao1, Xiang Liu3
Studies on Science Popularization | 2024, 19(4) : 14 - 22
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Studies on Science Popularization | 2024, 19(4): 14-22
Special Generative Artificial Intelligence and Scicnce Popularization
Analysis of the Underlying Logic and Participating Subject Functions of Artificial Intelligence-Generated Science Content
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Shen Zhou1, 2, Meili Tao1, Xiang Liu3
Affiliations
  • 1Department of Science and Technology Communication,University of Science and Technology of China,Hefei 230026
  • 2Anhui Key Laboratory of Science Education and Communication,School of Humanities,University of Science and Technology of China,Hefei 230026
  • 3College of Literature and Art,Southwest University of Science and Technology,Mianyang 621002
Published: 2024-08-20 doi: 10.19293/j.cnki.1673-8357.2024.04.002
Outline
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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.

artificial intelligence  /  intelligent science popularization  /  underlying logic  /  participating subject functions
Shen Zhou, Meili Tao, Xiang Liu. Analysis of the Underlying Logic and Participating Subject Functions of Artificial Intelligence-Generated Science Content[J]. Studies on Science Popularization, 2024 , 19 (4) : 14 -22 . DOI: 10.19293/j.cnki.1673-8357.2024.04.002
Year 2024 volume 19 Issue 4
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Article Info
doi: 10.19293/j.cnki.1673-8357.2024.04.002
  • Receive Date:2024-06-08
  • Online Date:2026-03-16
  • Published:2024-08-20
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  • Received:2024-06-08
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Affiliations
    1Department of Science and Technology Communication,University of Science and Technology of China,Hefei 230026
    2Anhui Key Laboratory of Science Education and Communication,School of Humanities,University of Science and Technology of China,Hefei 230026
    3College of Literature and Art,Southwest University of Science and Technology,Mianyang 621002
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https://castjournals.cast.org.cn/joweb/kpyj/EN/10.19293/j.cnki.1673-8357.2024.04.002
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表12种不同金属材料的力学参数

Family
属数
Number of
genus
种数
Number of
species
占总种数比例
Percentage of
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Genus
种数
Number of
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Percentage of total
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鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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