Research on artificial intelligence crime and China’s countermeasures

Authors

Jianxin GAO, Beijing Municipal Public Security Bureau, Beijing 100006, ChinaFollow
Jinping SUN, Beijing Municipal Public Security Bureau, Beijing 100006, China
Yukun CAI, Beijing Municipal Public Security Bureau, Beijing 100006, ChinaFollow
Chongpeng WANG, Beijing Municipal Public Security Bureau, Beijing 100006, China
Yanyan YANG, Beijing Municipal Public Security Bureau, Beijing 100006, China
Kaiyue WANG, Beijing Municipal Public Security Bureau, Beijing 100006, China

Keywords

artificial intelligence (AI) crime；response strategies；legal norms；monitoring and early warning；cooperation and communication

Document Type

Artificial Intelligence and Public Security

Abstract

The rapid development of artificial intelligence technology has constantly given rise to new scenarios, models, and markets, changing the way information and knowledge are generated. Nevertheless, the security risks exposed by technology, such as algorithm bias, data leakage, false content generation, and improper use, are also prone to trigger various new types of crimes. There are still loopholes in legal regulation and technological prevention under the current situation, which poses severe challenges to crime crackdown. In order to effectively meet the new challenges of China’s artificial intelligence (AI) crime, we should supplement and improve the existing legal norms, improve the technical prevention ability, strengthen supervision and personnel training, expand the scope of international cooperation, and steadily improve the AI crime prevention ability.

First page

408

Last Page

418

Language

Chinese

Publisher

Bulletin of Chinese Academy of Sciences

References

1​戚永福, 翁音韵, 曹瑞璇. 生成式人工智能介入网络犯罪的治理难点及应对. 人民检察, 2024, (6): 66-70.Qi Y F, Weng Y Y, Cao R X. The difficulties and countermeasures of using generative artificial intelligence to intervene in cybercrime governance. People’s Procuratorial Semimonthly, 2024, (6): 66-70. (in Chinese)

​2​郑雪. AI诈骗新套路不断，“眼见不一定为实”如何防范. 中国经济周刊, 2024, (11): 103-104.Zheng X. New tricks of AI fraud keep emerging, how to prevent “seeing is not necessarily believing”. China Economic Weekly, 2024, (11): 103-104. (in Chinese)

​3​杜洋. 守住人工智能技术应用法治底线. 法治日报, 2024-07-04(06).Du Y. Defend the bottom line of the rule of law in the application of AI technology. Legal Daily, 2024-07-04(06). (in Chinese)

​4​刘津宁. AI“复活”，边界何在？. 中国妇女报, 2024-04-22(008).Liu J N. Where are the boundaries of using AI for people’s virtual rebirth?. China Women’s News, 2024-04-22(008). (in Chinese)

​5​卢刚. 司法体制改革背景下法院分案制度之构建——基于传统分案和随机分案的样态检视// 法院改革与民商事审判问题研究——全国法院第29届学术讨论会获奖论文集（上）. 北京: 最高人民法院, 2018.Lu G. Construction of court case division system under the background of judicial system reform: A study of traditional and random case divisions// Research on Court Reform and Civil and Commercial Trial Issues: Selected Papers from the 29th National Academic Symposium on Courts (Part 1). Beijing: The Supreme People’s Court of the People’s Republic of China, 2018. (in Chinese)

​6​陈世华. 确定案件性质的依据和作用. 犯罪研究, 1990, (5): 24.Chen S H. Basis and function for determining the nature of cases. Crime Research, 1990, (5): 24. (in Chinese)

​7​王彩玉, 梁立增. 新加坡人工智能犯罪生态治理的实践与探索. 现代世界警察, 2024, (1): 53-61.Wang C Y, Liang L Z. Practice and exploration of AI crime ecological governance in Singapore. Modern World Police, 2024, 1: 53-61. (in Chinese)

​8​杨延超. 大模型时代，人工智能犯罪如何治理？. 群言, 2023, (7): 32-34.Yang Y C. How to govern artificial intelligence crimes in the era of big models?. Popular Tribune, 2023, (7): 32-34. (in Chinese)

​9​罗昕. 聊天机器人的网络传播生态风险及其治理——以ChatGPT为例. 青年记者, 2023, (7): 91-94.Luo X. The ecological risks and governance of network communication of chatbots: A case study of ChatGPT. Youth Journalist, 2023, (7): 91-94. (in Chinese)

​10​薛澜, 赵静. 人工智能国际治理：基于技术特性与议题属性的分析. 国际经济评论, 2024, (3): 52-69.Xue L, Zhao J. International governance of AI: Analysis based on technical characteristics and issue attributes. International Economic Review, 2024, (3): 52-69. (in Chinese)

​11​聂江波. AI犯罪前瞻及人工智能侦查系统构建. 公安研究, 2024, (5): 86-91.Nie J B. AI crime foresight and construction of artificial intelligence investigation system. Public Security Research, 2024, (5): 86-91. (in Chinese)

​12​程乐. 生成式人工智能治理的态势、挑战与展望. 人民论坛, 2024, (2): 76-81.Cheng L. The situation, challenges, and prospects of generative artificial intelligence governance. People’s Tribune, 2024, (2): 76-81. (in Chinese)

​13​王恺乐, 陈云伟, 熊永兰. 人工智能监管政策与措施的国际比较及启示. 世界科技研究与发展，2024, 46(4): 456-468.Wang K L, Chen Y W, Xiong Y L. International comparison and implications of regulatory policies and measures for artificial intelligence. World Sci-Tech R&D, 2024, 46(4): 456-468. (in Chinese)

​14​李猛. 人类命运共同体视角下人工智能风险全球治理的国际法规制路径探究. 宁夏社会科学, 2024, (2): 112-124.Li M. Exploration of international legal regulatory paths for artificial intelligence risks global governance from the perspective of a community with a shared future for mankind. Ningxia Social Sciences, 2024, (2): 112-124. (in Chinese)

​15​邢玉秋, 罗子杰. 公安院校无人机警务实战化教学研究. 中国军转民, 2024, (11): 23-25.Xing Y Q, Luo Z J. Research on the practical teaching of unmanned aerial vehicle policing in public security universities. Defense Industry Conversion in China, 2024, (11): 23-25. (in Chinese)

​16​张梓琪. C市电信网络诈骗协同治理研究. 长春: 吉林大学, 2023.Zhang Z Q. Study on Cooperative Governance of Telecom Network Fraud in C City. Changchun: Jilin University, 2023. (in Chinese)

​17​郑秋伟, 李前进, 程晓东. 人工智能驱推思想政治教育变革：逻辑、趋向与策略. 教育理论与实践, 2024, 44(15): 31-36.Zheng Q W, Li Q J, Cheng X D. AI driving the transformation of ideological and political education: Logic, trends, and strategies. Theory and Practice of Education, 2024, 44(15): 31-36. (in Chinese)

​18​中国信息通信研究院, 京东探索研究院. AIGC赋能百业，助力产业升级迭代. 大数据时代, 2023, (8): 6-29.China Academy of Information and Communications Technology, JD Explore Academy. AIGC empowers all trades and fosters industrial upgrades. Big Data Time, 2023, (8): 6-29. (in Chinese)

​19​丁迪. 大国竞争、战略稳定与治理合作——美国人工智能多元安全议程的特征、逻辑与战略影响. 国际观察, 2024, (4): 1-30.Ding D. Big power competition, strategic stability and governance cooperation—Characteristics, logic and strategic impact of the US artificial intelligence multi security agenda. International Observation, 2024, (4): 1-30. (in Chinese)

​20​于波, 应雨晴, 程得琳. AI应如何“合理”运用他人作品. 中国新闻出版广电报, 2024-03-21(A5).Yu B, Ying Y Q, Cheng D L. How AI should properly use others’ works. China Press Publication Radio Film and Television Journal, 2024-03-21(A5). (in Chinese)

​21​何镭. 涉人工智能犯罪刑事责任问题研究. 蚌埠: 安徽财经大学, 2021,He L. Research on Criminal Responsibility of Crimes Involving Artificial Intelligence. Bengbu: Anhui University of Finance and Economics, 2021. (in Chinese)

​22​杨建军, 张凌寒, 周辉, 等. 人工智能法：必要性与可行性. 北京航空航天大学学报（社会科学版）, 2024, 37(3): 162-174.Yang J J, Zhang L H, Zhou H, et al. Artificial intelligence law: Necessity and feasibility. Journal of Beijing University of Aeronautics and Astronautics (Social Sciences Edition), 2024, 37(3): 162-174. (in Chinese)

Recommended Citation

GAO, Jianxin; SUN, Jinping; CAI, Yukun; WANG, Chongpeng; YANG, Yanyan; and WANG, Kaiyue (2024) "Research on artificial intelligence crime and China’s countermeasures," Bulletin of Chinese Academy of Sciences (Chinese Version): Vol. 40 : Iss. 3 , Article 2.
DOI: https://doi.org/10.16418/j.issn.1000-3045.20241025004
Available at: https://bulletinofcas.researchcommons.org/journal/vol40/iss3/2