合同型深度伪造：大语言模型能生成合同吗？
Contractual Deepfakes: Can Large Language Models Generate Contracts?
AI总结：
本文指出大语言模型生成的合同可能不具法律效力，质疑其在法律领域应用的可行性。
摘要：
尽管大语言模型（LLMs）在生成文本方面具有前所未有的能力，但它们并不理解词语的意义，没有语境感知能力，也无法推理。它们的输出只是统计上占主导地位的词模式的近似。然而，合同起草常被视为一种典型的法律任务，可以借助这项技术来完成。本文旨在结束这种不合理的观点。预测词语与在特定交易情境下使用语言不同，重构常见的合同短语与法律推理不同。LLMs似乎能够生成通用且表面上合理的合同文件。在阳光下审视，这些文件可能最终被发现是不一致条款的无用集合，或是可执行但不适合特定交易的合同。本文对LLMs威胁法律行业持续可行性的简单假设投下阴影。
英文摘要：
Notwithstanding their unprecedented ability to generate text, LLMs do not understand the meaning of words, have no sense of context and cannot reason. Their output constitutes an approximation of statistically dominant word patterns. And yet, the drafting of contracts is often presented as a typical legal task that could be facilitated by this technology. This paper seeks to put an end to such unreasonable ideas. Predicting words differs from using language in the circumstances of specific transactions and reconstituting common contractual phrases differs from reasoning about the law. LLMs seem to be able to generate generic and superficially plausible contractual documents. In the cold light of day, such documents may turn out to be useless assemblages of inconsistent provisions or contracts that are enforceable but unsuitable for a given transaction. This paper casts a shadow on the simplistic assumption that LLMs threaten the continued viability of the legal industry.
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。
