计算法学:法律与人工智能的交叉研究

Computational Jurisprudence: Interdisciplinary Study on Artificial Intelligence and Law

计算法学是随着人工智能在法学中深入应用而产生的一门交叉学科,使用建模、模拟等计算方法来分析法律关系,让法律信息从传统分析转为实时应答的信息化、智能化体系,旨在发现法律系统的运行规律。计算法学的核心思想是计算思维与法学思想的深度融合,研究者通过主体的分布式实时计算来分析法律行为,从而发现法律发展的深层规律。人工智能等增强技术应用于法学有利于丰富和发展法学基础理论,提升部门法科学性及协调性,减少法律系统运行摩擦。计算法学对于提高立法与司法效率、应对和规避技术风险等均具有积极作用。计算法学涉及计算法学理论、立法实验、司法预测、法律的语义挖掘、法律逻辑分析、司法管理系统、司法证据等几方面研究。计算法学吸引着众多法学、计算机科学研究者的目光,正在形成一个新的学科分支,并有望孕育出一批新的法律职业群体。

The application of state-of-the-art artificial intelligence and big data mining to the law has led to a promising area of interdisciplinary research:computational jurisprudence.By investigating legal relationships and interactions through simulation and modeling,computational jurisprudence aims to find out the law for legal system with the legal information analysis transforming to real-time online intelligent system.Artificial intelligence applied in law will enrich the basic theory of law,improve the judicial efficiency and also reduce the conflicts of legal system.Computational jurisprudence has great value for legal system which improves the impartiality and effectiveness of legislative and judicial practices,promoting the integration of common law and civil law systems and reducing risks brought by application of new techniques.It mainly involves the research on theories of computational jurisprudence,legislation experiments,judicial prediction,legal semantic mining,legal logic analysis,judicial administrative system and judicial evidence.By analyzing its values and challenges,computational jurisprudence will attract more attentions and create some new legal professions.