重新构想法律事实验证与生成式AI：迈向有效的人类-人工智能协作
Reimagining Legal Fact Verification with GenAI: Toward Effective Human-AI Collaboration
AI总结：
本文通过调研律师对生成式AI的态度，探讨了如何设计可信赖的AI系统以支持法律事实验证，强调在效率与专业判断间平衡，并维护伦理和法律问责。
摘要：
事实验证是非诉讼法律实践中一个关键但研究不足的组成部分。尽管现有研究已探讨了法律工作流程中的自动化和高风险领域中的人工智能协作，但很少有人了解生成式人工智能如何支持事实验证，这是一项需要谨慎判断和严格问责的任务。为此，我们与18名律师进行了半结构化访谈，以了解他们当前的验证实践、对生成式人工智能采用的态度以及对未来系统的期望。我们发现，虽然律师使用生成式人工智能进行低风险任务，如起草和语言优化，但对准确性、保密性和责任的担忧目前限制了其在事实验证中的应用。这些担忧转化为AI系统可信赖和可问责的核心设计要求。基于此，我们为法律事实验证中的人工智能协作提供了设计见解，强调开发可追溯的系统，以在效率与专业判断之间取得平衡，并在高风险实践中维护伦理和法律问责。
英文摘要：
Fact verification is a critical yet underexplored component of non-litigation legal practice. While existing research has examined automation in legal workflow and human-AI collaboration in high-stakes domains, little is known about how GenAI can support fact verification, a task that demands prudent judgment and strict accountability. To address this, we conducted semi-structured interviews with 18 lawyers to understand their current verification practices, attitudes toward GenAI adoption, and expectations for future systems. We found that while lawyers use GenAI for low-risk tasks like drafting and language optimization, concerns over accuracy, confidentiality, and liability are currently limiting its adoption for fact verification. These concerns translate into core design requirements for AI systems that are trustworthy and accountable. Based on these, we contribute design insights for human-AI collaboration in legal fact verification, emphasizing the development of auditable systems that balance efficiency with professional judgment and uphold ethical and legal accountability in high-stakes practice.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
