arXivDaily arXiv每日学术速递 周一至周五更新
arXiv周末暂无论文更新,休息一下吧,周末愉快~~
arXiv 2610.05238cs.CY

DeepSeek的法律

The Law of DeepSeek

Jyh-An Lee, Xuan Sun

首次发表
浏览论文内容

中文总结 AI 辅助

本文全面分析DeepSeek-R1模型引发的法律与政策问题,涵盖出口管制、信息安全、偏见争议及知识产权,指出地缘政治将持续影响其法律挑战与解决方案。

中文摘要 AI 辅助

在中美人工智能竞争日益激烈的背景下,DeepSeek-R1模型的出现对科技领域、资本市场和政策界产生了重大影响。本文基于DeepSeek的关键技术特征,包括强化学习、混合专家架构、多头潜在注意力机制、知识蒸馏和开源方法,对其周围的法律和政策环境进行了全面分析。首先,DeepSeek的成功对美国日益强化的芯片和半导体出口管制措施的有效性提出了关键质疑,这些组件是训练大型语言模型所必需的。其次,与TikTok和华为等中国科技巨头类似,DeepSeek在美国及其他司法管辖区面临信息安全审查。第三,尽管DeepSeek具有领域特定能力和有竞争力的API定价,但其因产生带有政治和意识形态偏见的内容而受到批评,引发了关于言论自由和审查制度的辩论。此外,本文深入探讨了DeepSeek采用的知识蒸馏技术所引发的知识产权和合同问题。最后,本文得出结论,地缘政治考量将继续对与DeepSeek模型相关的法律挑战和潜在解决方案产生深远影响。

英文摘要

Amid the intensifying competition in artificial intelligence between the United States and China, the emergence of the DeepSeek-R1 model has sent significant ripples through the technology sector, capital markets, and policy circles. This Article offers a comprehensive analysis of legal and policy landscape surrounding DeepSeek, drawing upon its key technical features-including reinforcement learning, mixture-experts architecture, multi-head latent attention mechanism, knowledge distillation, and open-source approach. Firstly, DeepSeek's success raises crtitical questions about the efficacy of the United States' increasingly robust export control measures on chips and semiconductors, components essential for training large language models. Secondly, akin to Chinese technology giants such as TikTok and Huawei, DeepSeek is confronted with information security scrutiny in the United States and other jurisdictions. Thirdly, despite its domain-specific capabilities and competitive API pricing, DeepSeek has faced criticism for producing outputs laden with political and ideological biases, igniting debates over free speech and censorship. Further more, this Article delves into intellectual property and contractual concerns stemming from the knowledge distillation technique employed by DeepSeek. Ultimately, it concludes that geopolitical consideration will continue to exert a profound influence on the legal challenges and prospective solutions related to the DeepSeek models.

发表机构

  • The Chinese University of Hong Kong Faculty of Law(香港大学法学院)
  • Centre for Legal Innovation and Digital Society (CLINDS)(法律创新与数字社会研究中心)

机构由 AI 辅助整理,请以论文原文为准。

补充信息

↑