法律解释与 AI：从专家系统到论证理论与大语言模型
Legal interpretation and AI: from expert systems to argumentation and LLMs
AI 导读
这篇 arXiv 论文梳理了 AI 与法律研究在不同技术路径下处理法律解释的方式。专家系统研究聚焦法律知识工程，力求把人类解释精确转化为知识库；论证理论研究解释性论证的结构与辩证互动，以评估解释主张的可接受性；机器学习研究则借助通用与专用语言模型自动生成解释建议和论证，并日益被部署于法律实践。
正文 · 原文
Abstract:AI and Law research has encountered legal interpretation in different ways, in the context of its evolving approaches and methodologies. Research on expert system has focused on legal knowledge engineering, with the goal of ensuring that human-generated interpretations can be precisely transferred into knowledge-bases, to be consistently applied. Research on argumentation has aimed at representing the structure of interpretive arguments, as well as their dialectical interactions, to assess of the acceptability of interpretive claims within argumentation frameworks. Research on machine learning has focused on the automated generation of interpretive suggestions and arguments, through general and specialised language models, now being increasingly deployed in legal practice.
| Subjects: | Artificial Intelligence (cs.AI) |
| Cite as: | arXiv:2603.05392 [cs.AI] |
| (or arXiv:2603.05392v2 [cs.AI] for this version) | |
| https://doi.org/10.48550/arXiv.2603.05392 arXiv-issued DOI via DataCite |
Submission history
From: Giovanni Sartor [view email]
[v1]
Thu, 5 Mar 2026 17:22:56 UTC (647 KB)
[v2]
Thu, 12 Nov 2026 10:50:34 UTC (415 KB)
来源：arXiv cs.AI · arxiv.org