摘要
ChatGPT为代表的生成式人工智能的犯罪风险具有技术复杂性和未知性交织、隐蔽性和不可控性叠加、智能性和全新性相伴的复杂特征,传统“事后回应型”犯罪治理范式在此类犯罪面前表现出严重的滞后性和局限性。据此,需要以算法、算力和大数据三大关键要素相互作用的运行机理为技术参照,将“敏捷治理”理念嵌入犯罪治理范式,从强化前置性法律规制体系、全流程引入刑事合规机制、充分发挥软法功能提升风险监管质效等方面,建立全流程动态监管的犯罪综合治理机制,为构建契合技术逻辑的犯罪治理方案提供智力支持。
The criminal risk of generative artificial intelligence represented by ChatGPT has the complex characteristics of technical complexity and unknown interweaving,concealment and uncontrollable superposition,intelligence and new combination.The traditional“post-response”crime governance paradigm shows a serious lag and has limitations in the face of such crimes.Accordingly,it is necessary to take the operation mechanism of the interaction of the three key elements of algorithm,computing power and big data as the technical reference,and embed the concept of“agile governance”into the crime governance paradigm.From the aspects of strengthening,the pre-imposed legal regulation system introducing the criminal compliance mechanism in the whole process,and giving full play to the function of soft law to improve the quality and efficiency of risk supervision.By establishing a comprehensive crime governance mechanism with dynamic supervision of the whole process,we provide intellectual support for the construction of a crime governance scheme that fits the technical logic.
作者
吕垚瑶
LV Yaoyao(School of Criminal Investigation,Southwest University of Political Science and Law,Chongqing 401120)
出处
《中国刑警学院学报》
2024年第1期78-87,共10页
Journal of Criminal Investigation Police University of China
基金
2021年度重庆市社科规划博士项目(编号:2021BS106)
2022年度重庆社科规划智库委托重点项目(编号:2022ZDZK24)
关键词
ChatGPT技术逻辑
生成式人工智能犯罪
敏捷治理
动态全过程治理
Thelogic of ChatGPT technology
generative artificial intelligence crime
agile governance
dynamic whole-process governance
