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Empowering Science Popularization through Generative Artificial Intelligence:Technological Opportunities,Ethical Risks,and Response Strategies
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Shuo Wang, Yan Yan, Zhengfeng Li
Studies on Science Popularization | 2024, 19(4) : 5 - 13
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Studies on Science Popularization | 2024, 19(4): 5-13
Special Generative Artificial Intelligence and Scicnce Popularization
Empowering Science Popularization through Generative Artificial Intelligence:Technological Opportunities,Ethical Risks,and Response Strategies
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Shuo Wang, Yan Yan, Zhengfeng Li
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  • School of Social Sciences,Tsinghua University,Beijing 100084
Published: 2024-08-20 doi: 10.19293/j.cnki.1673-8357.2024.04.001
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By facilitating greater participation,richer content presentation,more efficient knowledge translation,and more focused science outreach,generative AI has the potential to enhance science communication and popularization significantly. This technology also introduces two different kinds of ethical risks. On the one hand,generative AI raises technical,ethical questions about information authenticity,fairness,security,bias,and copyright. On the other hand,problems historically linked to science popularization may get worse,such as oversimplification,a lack of scientific communication,the erosion of scientific authority,and populism. Consequently,it is crucial to investigate the application potential of generative artificial intelligence in science popularization practices going forward,as well as to raise the technical awareness,application capabilities,and supervision level of the general public,science popularization professionals,and regulators. Additionally,it is necessary to guarantee the accuracy,privacy security,and fairness of the content produced for science popularization.

generative AI  /  science popularization  /  technological opportunities  /  ethical risks
Shuo Wang, Yan Yan, Zhengfeng Li. Empowering Science Popularization through Generative Artificial Intelligence:Technological Opportunities,Ethical Risks,and Response Strategies[J]. Studies on Science Popularization, 2024 , 19 (4) : 5 -13 . DOI: 10.19293/j.cnki.1673-8357.2024.04.001
Year 2024 volume 19 Issue 4
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doi: 10.19293/j.cnki.1673-8357.2024.04.001
  • Receive Date:2024-05-22
  • Online Date:2026-03-16
  • Published:2024-08-20
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  • Received:2024-05-22
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    School of Social Sciences,Tsinghua University,Beijing 100084
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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
total species (%)

Genus
种数
Number of
species
占总种数比例
Percentage of total
species (%)
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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