收藏切换
Comparison of artificial intelligence governance models between the European Union and the United Sates and policy implications for China
收藏切换
PDF
Peng SHEN1, 2, Jin GONG2, 3, *, Chen GONG2
Science & Technology Review | 2025, 43(5) : 117 - 120
Less
收藏切换
Science & Technology Review | 2025, 43(5): 117-120
Policy Forum
Comparison of artificial intelligence governance models between the European Union and the United Sates and policy implications for China
Full
Peng SHEN1, 2, Jin GONG2, 3, *, Chen GONG2
Affiliations
  • 1. Faculty of Business and Economics, The University of Hong Kong, Hong kong 999077, China
  • 2. Waterdrop Research Institute, Beijing 100102, China
  • 3. School of Management, Fudan University, Shanghai 200433, China
Published: 2025-03-13 doi: 10.3981/j.issn.1000-7857.2024.10.01509
Outline
收藏切换

Realizing a balance between technological development and security is a major practical issue that global artificial intelligence governance must confront. At present, the most representative models of global artificial intelligence governance are the "rule of law" model guided by ethics first behavior in the European Union and the "soft rules" model guided by technology first behavior in the United States. This paper systematically analyzes the differences between the two models from the perspectives of governance ideology, governance subject, governance system and governance strategy, and proposes policy implications for optimizing China's AI governance path based on this.

artificial intelligence  /  ethical governance  /  regulatory mode  /  regulatory dilemma
Peng SHEN, Jin GONG, Chen GONG. Comparison of artificial intelligence governance models between the European Union and the United Sates and policy implications for China[J]. Science & Technology Review, 2025 , 43 (5) : 117 -120 . DOI: 10.3981/j.issn.1000-7857.2024.10.01509
Year 2025 volume 43 Issue 5
PDF
3788
1790
Cite this Article
BibTeX
Article Info
doi: 10.3981/j.issn.1000-7857.2024.10.01509
  • Receive Date:2024-10-31
  • Online Date:2025-06-29
  • Published:2025-03-13
Article Data
Affiliations
History
  • Received:2024-10-31
  • Revised:2024-12-27
Affiliations
    1. Faculty of Business and Economics, The University of Hong Kong, Hong kong 999077, China
    2. Waterdrop Research Institute, Beijing 100102, China
    3. School of Management, Fudan University, Shanghai 200433, China
References
Share
https://castjournals.cast.org.cn/joweb/kjdb/EN/10.3981/j.issn.1000-7857.2024.10.01509
Share to
QR

Scan QR to access full text

Cite this article
BibTeX
Citations
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
关闭全屏
  • BibTeX
  • EndNote
  • RefWorks
  • TxT