摘要
个人信息侵权案件受到算法黑箱与技术壁垒的多重限制,在因果关系的事实认定中存在证明标准失范和自由心证滥用等缺陷,传统的法解释分析方法难以解决其中的科学证据认定难题。贝叶斯定理运用概率论的数学原理精准计算因果关系,借助较为准确的先验概率和似然率精确分析证据,将证据与事实转化为概率陈述以丰富法官形成心证的质料,契合个人信息侵权案件中因果关系的证明原理。将贝叶斯定理作为证据推理与事实认定的重要工具,有助于构筑起认定个人信息侵权案件中因果关系的全新方法论。重构事实推理的认识论与方法论以破除认知壁垒,采用案例指导制度作为规范路径,将贝叶斯定理融入智慧司法来拓展事实认定方法,是贝叶斯定理融入中国司法实践的现实可行路径。
Personal data tort cases are restricted by algorithm black box and technical barriers,and there are some serious defects in the fact-finding of causality,such as the failure of standard of proof and abuse of free evidence.Bayes theorem uses mathematical principles to accurately calculate causality,more accurately analyzes evidence with accurate prior probability and likelihood ratio,converts evidence and facts into probabilistic statements to enrich the material for judges to form free mental evidence,and conforms to the proof principle of causality in personal data tort cases.Taking Bayes theorem as an important tool of evidence reasoning and fact-finding,it is helpful to build a new methodology for determining causality in personal data tort cases.These are practical and feasible paths to integrating Bayes theorem into Chinese judicial practice:reconstructing the epistemology and methodology of fact reasoning to break through the cognitive barrier,adopting the case guidance system as the normative path,and integrating Bayes theorem into intelligent justice to expand the fact-finding method.
作者
方程
FANG Cheng(School of Law,Zhejiang Gongshang University,Hangzhou 310018,China)
出处
《浙江工商大学学报》
CSSCI
北大核心
2023年第4期142-156,共15页
Journal of Zhejiang Gongshang University
关键词
贝叶斯定理
因果关系
个人信息侵权
概率陈述
智慧司法
the Bayes Theorem
causality
personal data tort
probability statement
intelligent justice
