Eskwai for Students: Generative AI Assistant for Legal Education in Ghana
Eskwai for Students: Generative AI Assistant for Legal Education in Ghana
Eskwai for Students：加纳法律教育的生成式 AI 助手
Abstract: 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.
摘要： 生成式人工智能的最新进展显示了其在法律教育领域的应用潜力。然而，针对全球南方国家（Global South）法律教育开发和部署此类系统的研究仍然有限。在这项工作中，我们开发了“Eskwai for Students”，这是一个旨在辅助法学学生进行法律学习的生成式 AI 助手。
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.
Eskwai for Students 是一个检索增强生成（RAG）系统，它基于一个包含超过 1.2 万个案例法和 1400 部加纳立法的精选数据库，为法学学生提供各类法律问题的解答。我们在加纳进行了为期 30 个月（2.5 年）的纵向研究，部署了该系统，共有 3100 名法学学生参与使用，并产生了 3.2 万次查询。
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.
我们评估了该 AI 的实用性，并深入分析了法学学生向该生成式 AI 工具提交的查询类型，这些查询引发了一些伦理方面的考量。这项工作有助于理解全球南方国家的法学学生如何利用生成式 AI 进行学习，以及如何负责任地利用该技术来推动法律教育的发展。
Paper Details:
- Authors: George Boateng, Philemon Badu, Patrick Agyeman-Budu, Samuel Ansah, Evans Atompoya, Evan Igwilo, Lord Baah, Frederick Abu-Bonsrah, Victor Wumbor-Apin Kumbol
- arXiv ID: 2605.15380
- Subjects: Computation and Language (cs.CL); Computers and Society (cs.CY); Human-Computer Interaction (cs.HC)
论文详情：
- 作者： George Boateng, Philemon Badu, Patrick Agyeman-Budu, Samuel Ansah, Evans Atompoya, Evan Igwilo, Lord Baah, Frederick Abu-Bonsrah, Victor Wumbor-Apin Kumbol
- arXiv ID: 2605.15380
- 学科分类： 计算与语言 (cs.CL)；计算机与社会 (cs.CY)；人机交互 (cs.HC)