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Public Risk Perception of Generative Artificial Intelligence Based on the MIMIC Model
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Shu CHEN, Yue ZHUANG*, Yang-yang QIAN
Science Technology and Engineering | 2025, 25(11) : 4817 - 4826
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Science Technology and Engineering | 2025, 25(11): 4817-4826
• Papers·Environmental and Safe Science •
Public Risk Perception of Generative Artificial Intelligence Based on the MIMIC Model
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Shu CHEN, Yue ZHUANG*, Yang-yang QIAN
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  • School of Safety Science and Emergency Management, Wuhan University of Technology, Wuhan 430070, China
Published: 2025-04-18 doi: 10.12404/j.issn.1671-1815.2404121
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The explosive popularity of the new generation of artificial intelligence technologies will profoundly impact the risk experience of perceptual subjects within risk societies. Factor analysis and multiple indicators and multiple causes (MIMIC) model were used to study 12 risk scenarios of generative AI, besides four indicators reflecting the public's risk perception and five dimensions affecting the public's risk perception were explored. The results show that the public's perception of the risks of generative AI can be reflected by expectations of safety, technology, user and corporate regulatory. The public's risk perception is affected by its subjective evaluation of technology risks, macro risks, equity risks, subject risks and application risks, among which both equity risks and macro risks have the most significant impact. It shows that the public's risk perception of generative artificial intelligence is mainly characterized by “self-oriented” and “precautionary”. On this basis, the public's risk perception of generative artificial intelligence from the perspectives of history and culture, risk communication and technology governance was analyzed further, and corresponding countermeasures was put forward.

multiple indicators and multiple causes (MIMIC)model  /  generative artificial intelligence  /  public  /  risk perception
Shu CHEN, Yue ZHUANG, Yang-yang QIAN. Public Risk Perception of Generative Artificial Intelligence Based on the MIMIC Model[J]. Science Technology and Engineering, 2025 , 25 (11) : 4817 -4826 . DOI: 10.12404/j.issn.1671-1815.2404121
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Year 2025 volume 25 Issue 11
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Article Info
doi: 10.12404/j.issn.1671-1815.2404121
  • Receive Date：2024-06-03
  • Online Date：2025-07-09
  • Published：2025-04-18
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  • Received：2024-06-03
  • Revised：2024-09-25
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    School of Safety Science and Emergency Management, Wuhan University of Technology, Wuhan 430070, China
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表12种不同金属材料的力学参数
科
Family		 属数
Number of
genus		 种数
Number of
species		 占总种数比例
Percentage of
total species (%)		 属
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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