为加纳法学生打造的AI助教，用本地法律数据答疑解惑
Eskwai for Students: Generative AI Assistant for Legal Education in Ghana
- 基于12000+案例与1400+法规构建RAG系统，精准回答法律问题
- 3100名学生使用2.5年，共提出3.2万次查询，验证实用性
- 揭示南半球学生使用AI学习的模式与伦理挑战，适合教育研究者
生成式AI在法律教育中展现出潜力，但针对全球南方地区的相关研究仍有限。本文开发了Eskwai for Students，一款面向加纳法学生的生成式AI助教。该系统采用检索增强生成（RAG）架构，依托包含超过12,000个判例和1,400部立法文件的精选数据库，为法学生提供基于本地法律知识的问答支持。我们通过一项为期30个月（2.5年）的纵向研究部署该系统，覆盖3,100名加纳法学生，累计产生32,000次查询。评估表明其对学习具有显著帮助，并揭示了学生提出的典型问题类型，同时引出若干伦理关切。本工作深化了对全球南方法学生如何使用生成式AI进行学习的理解，为负责任地推动法律教育提供了实践依据。
原文摘要 · Abstract (English)
Recent advances in generative AI have shown their potential to be leveraged for legal education. Yet, work on the development and deployment of such systems for legal education in the Global South is limited. In this work, we developed Eskwai for Students, a generative AI assistant to help law students with their legal education. Eskwai for Students is a retrieval augmented generation (RAG) system that provides answers to a wide range of legal questions for law students grounded in a curated database of over 12K case laws and 1.4K legislation in Ghana. We deployed Eskwai for Students in a longitudinal study of 30 months (2.5 years) used by 3.1K law students in Ghana who made 32K queries. We evaluated the helpfulness of our AI, and provided insight into the kinds of queries law students submit to this generative AI tool, which raises some ethical concerns. This work contributes to an understanding of how law students in the Global South are using generative AI for their studies and the ways it could be leveraged responsibly to advance legal education.
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