摘要
人工智能法律系统研究的核心内容是法律推理模拟,这面临两个现实的技术性难题:一是证据推理模拟,在证据分析、社会知识库建构与概括选择等方面遇到困难;二是法律解释模拟,面临着解释的能动性与价值选择的困难。人工智能法律系统的研发目标旨在代替法官或制造机器人法官,但其应用的界限却是不能独立担任法官,这构成一个"旨在代替/不能代替"的悖论,需要在立法限制的同时,实施"人-机系统"解决方案。
The core content of artificial intelligence legal information systems (AILIS) research is the simulation of legal reasoning,which faced two technical challenges:the one problem is the simulation of evidential reasoning,in the analysis of the evidence,constructing the stock of social knowledge and the selection of generalization;another problem is the simulation of legal interpretation with the difficulties of subject activity and value choice.Artificial intelligence legal information system aims to substitute or create a robot judge,but its boundary is that it cannot stand alone as a judge.This poses a paradox of "aimed at replacing/is not a substitute for".It is necessary to keep legislative limitations on the robots serving as judges,and conduct the "manmachine system"solution.
作者
张保生
ZHANG Baosheng(Institute of Evidence Law and Forensic Science,China University of Political Science and Law,Beijing 100088,China)
出处
《上海师范大学学报（哲学社会科学版）》
CSSCI
北大核心
2018年第6期25-41,共17页
Journal of Shanghai Normal University(Philosophy & Social Sciences Edition)
基金
国家社会科学基金重大项目"司法评估的理论与方法研究"(17ZDA129)
关键词
人工智能
法律推理模拟
证据推理难题
法律解释难题
代替悖论
artificial intelligence
simulation of legal reasoning
problems of evidential reasoning
legal interpretation problem
substitution paradox
