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Analysis of Collective Responsibility for Promoting Public Understanding of Generative Artificial Intelligence:Based on a Collective Action Perspective
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Jianmin Li
Studies on Science Popularization | 2024, 19(2) : 45 - 53
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Studies on Science Popularization | 2024, 19(2): 45-53
Special Generative Artificial Intelligence and Scicnce Popularization
Analysis of Collective Responsibility for Promoting Public Understanding of Generative Artificial Intelligence:Based on a Collective Action Perspective
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Jianmin Li
Affiliations
  • School of Marxism,Shandong University of Technology,Zibo 255000
Published: 2024-04-20 doi: 10.19293/j.cnki.1673-8357.2024.02.006
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Various risks associated with the rapid iteration and application of generative artificial intelligence have made the“artificial intelligence threat theory”prevalent in the public eye. Based on the perspective of collective action,this research interpreted the problem of artificial intelligence application as a problem of collective responsibility. It also analyzed the collective responsibility positioning of the public initiative and reflexivity in the application of generative artificial intelligence and the collective obligations of the public in the governance of generative artificial intelligence. This research uses structural injustice to understand the application problems of generative artificial intelligence,explains the dilemma of scientific communication in promoting public understanding of generative artificial intelligence,and analyzes the way out from the perspective of trust. The collective nature of generative artificial intelligence application issues determines the collective significance of promoting public understanding of generative artificial intelligence. It is urgently necessary for the responsibility ethics of generative artificial intelligence to move from personal ethics to collective ethics.

public  /  generative artificial intelligence  /  collective responsibility  /  collective action
Jianmin Li. Analysis of Collective Responsibility for Promoting Public Understanding of Generative Artificial Intelligence:Based on a Collective Action Perspective[J]. Studies on Science Popularization, 2024 , 19 (2) : 45 -53 . DOI: 10.19293/j.cnki.1673-8357.2024.02.006
Year 2024 volume 19 Issue 2
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doi: 10.19293/j.cnki.1673-8357.2024.02.006
  • Receive Date:2024-03-25
  • Online Date:2026-03-16
  • Published:2024-04-20
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  • Received:2024-03-25
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    School of Marxism,Shandong University of Technology,Zibo 255000
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https://castjournals.cast.org.cn/joweb/kpyj/EN/10.19293/j.cnki.1673-8357.2024.02.006
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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
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占总种数比例
Percentage of
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种数
Number of
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占总种数比例
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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