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司法裁判智能化的模式建构 被引量:4

Analyze on Construction of Intelligent Judicial Model
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摘要 近年来,我国经济社会飞速发展,社会纠纷不断增加,消耗了大量宝贵的司法资源,而人工智能技术的发展为此提供了智能裁判的新机遇。相当一部分小额诉讼的标准性强,格式化、非人格化的程度高,使当下的弱人工智能更可能在这些司法领域先行展开智能裁判系统的建设。此类小额诉讼及其他类型案件的智能裁判系统的研发,需要对该领域法律规范、典型案例、学理、部分案例进行知识整理,并根据不同类型和层级的要素建构法律知识图谱体系,然后根据前述工作流程的成果研发软件系统,并让软件对大量案例进行智能学习。此外,在司法智能化的设计与建构中,还需要注重对合同内容的审查,以及对消费者、弱者权益的保护。这也是当下弱人工智能时代,司法智能化所必须经历的“人机协作”的长时期发展历程。 In recent years,Chinese economy and society have developed rapidly,and the quantity of social disputes have continued to increase,consuming a lot of valuable judicial resources.The development of artificial intelligence technology has provided new opportunities for intelligent judgment.A considerable number of small claims lawsuits are highly standard,formatted and impersonal,making it more likely that the current weak AI will start the construction of an intelligent judicial system in this judicial field.The research and development of intelligent judicial systems for such small claims lawsuit and other types of cases requires knowledge summarizing of legal norms,typical cases,academic theories,and some cases in the field,and constructing a legal knowledge mapping based on elements of different types and levels.Develop a software system based on this and let it learn intelligently from a large number of cases.In addition,in the design and construction of judicial intelligence,it is also necessary to pay attention to the review of contract content and the protection of the rights and benefits of consumers and the weak.This is also an important long-term development process of“human-machine cooperation”that must be experienced in the gradual development of judicial intelligence in the current era of weak artificial intelligence.
作者 吴旭阳 Wu Xuyang(Law School,Xiamen University,Xiamen 361005)
机构地区 厦门大学法学院
出处 《浙江社会科学》 CSSCI 北大核心 2022年第6期63-72,157,共11页 Zhejiang Social Sciences
基金 2021年教育部人文社会科学研究规划基金项目《智能裁判系统设计中“知识整理”理论与实证研究》(项目号:21YJA820024)的阶段性成果。
关键词 小额诉讼 格式合同 智能裁判 知识整理 知识图谱 small claims lawsuit format contract intelligent judgment knowledge summarizing knowledge mapping
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