论人工智能法体系化的理论基础  

On the Theoretical Basis of Systematization of Artificial Intelligence Law

作　　者：郑飞 ZHENG Fei

机构地区：[1]北京交通大学法学院

出　　处：《中国政法大学学报》2024年第6期236-250,共15页Journal Of CUPL

基　　金：国家自然科学基金专项项目“新时期国家自然科学基金项目管理规章适应性研究——以面上项目和重点项目为例”(项目编号:J2424005)的阶段性成果。

摘　　要：随着人工智能技术迅猛发展,智能社会面临的风险和挑战日益增多,人工智能立法面临体系化和统一化需求,为此需深入分析其理论基础。人工智能法体系化的理论基础主要包括风险社会理论、人机关系理论和规制理论。其中,风险社会理论能够为人工智能法提供风险识别与应对框架,强调法律在技术风险治理中的关键作用。人机关系理论关注人与智能机器之间的新型“互生”关系,强调“人机共融”理念,旨在解决技术发展带来的伦理挑战。规制理论则关注如何通过法律手段解决智能社会风险并贯彻人机共融理念,平衡人工智能技术进步与智能社会治理之间的关系。With the rapid development of artificial intelligence technology,the intelligent society encounters increasing risks and challenges which calls for legislation of artificial intelligence for systematization and unification.Such legislation needs theoretical basis with deep analysis as a backup.The theoretical basis of systematization of artificial intelligence law mainly includes risk society theory,human-machine relationship theory,and regulation theory.Among them,the risk society theory can provide a framework for risk identification and response for artificial intelligence law,emphasizing the critical role of law in technological risk governance.The human-machine relationship theory focuses on the new“interdependent”relationship between humans and intelligent machines,emphasizing the concept of“human-machine integration”,and aims to address the ethical challenges brought about by technological development.Regulation theory,on the other hand,focuses on how to address risks in the intelligent society through legal means,implement the concept of human-machine integration,and balance the relationship between the progress of artificial intelligence technology and the governance of the intelligent society.

关 键 词：人工智能法 风险社会 人机关系 规制理论 

分 类 号：D912.1[政治法律—宪法学与行政法学]