智能量刑系统应用的司法难题与改良路径  

Judicial Problem and Improvement Path of Intelligent Sentencing System

作　　者：陈仪臻 CHEN Yizhen(Guangzhou University,Guangzhou 510006,China)

机构地区：[1]广州大学法学院,广州510006

出　　处：《北京工业职业技术学院学报》2022年第1期93-97,共5页Journal of Beijing Polytechnic College

基　　金：2019年广州大学一般研究项目“人工智能辅助刑事司法裁判的风险及其规制研究”。

摘　　要：智能量刑系统的司法适用,不仅推动了我国传统司法结构的转向,而且拓宽了关于“同案同判”裁判算法化的基本路径。对智能量刑算法裁判层层演进的脉络进行了研究,其司法适用难点在于智能量刑的公众认知偏向、经验归纳的不周延属性与个案问题的规律性偏差。顺利过渡智能量刑系统应用的司法适用困境的关键是探索设置进行算法质量的司法听证、衔接算法裁判和法官裁判以及保障算法的区域变通适用的程序,使之与司法数字化改革相适应,由此放大智慧司法的优势效果。The judicial application of intelligent sentencing system not only promotes the transformation of the traditional judicial structure,but also widens the basic path of“the same sentence in the same case”.This paper studies the evolution of intelligent sentencing algorithm.The difficulties of its judicial application lie in the public cognitive bias of intelligent sentencing,the incomprehensibility of experience induction and the regularity deviation of individual cases.The key to smoothly transition the judicial application dilemma of intelligent sentencing system is to explore and set up procedures for judicial hearing of algorithm quality,connecting algorithm judgment and judge judgment,as well as regional flexible application of guarantee algorithm,so as to adapt to the judicial digital reform and magnify the advantages of intelligent justice.

关 键 词：智能量刑系统 司法适用 裁判思路 程序法 

分 类 号：D926[政治法律—法学]