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.

翻译：本研究评估了通用型人工智能（如ChatGPT）在法律问答任务中的表现，揭示了其对法律从业者和客户构成的重大风险。研究提出，可借助经领域特定知识增强的基础模型来克服这些问题。本文倡导构建开源法律人工智能系统，以提升准确性、透明度与叙事多样性，从而解决通用人工智能在法律情境中的不足。