Abstract
This study evaluates the performance of general-purpose AI, like ChatGPT, in legal question-answering tasks, highlighting significant risks to legal professionals and clients. It suggests leveraging foundational models enhanced by domain-specific knowledge to overcome these issues. The paper advocates for creating open-source legal AI systems to improve accuracy, transparency, and narrative diversity, addressing general AI's shortcomings in legal contexts.
Abstract (translated)
本研究评估了通用人工智能（如ChatGPT）在法律问题解答任务中的表现，强调了法律专业人员和客户面临的重要风险。它建议利用在特定领域知识基础上发现的基础模型来克服这些问题。论文主张创建开源法律人工智能系统以提高准确性、透明度和叙事多样性，解决通用人工智能在法律背景中的不足。
URL
https://arxiv.org/abs/2404.12349
