arXiv:2503.04738cs.CYcs.AI2025-03被引 13

AI生成作品版权归属可由AI所有者主张,更省成本

Copyright in AI-generated works: Lessons from recent developments in patent law

  • 以AI所有者控制权为基础主张版权归属
  • 相比其他方案,该方法减少交易成本与不确定性
  • 适合需明确权属的商业创作者与平台

在Thaler诉专利、设计和商标总监案(DABUS)中,史密斯法官裁定,因对AI系统拥有所有权与控制权,其所有者可主张由AI生成发明的专利权。这一AI所有者路径为分配AI生成成果的产权提供了新思路。尽管该判决主要涉及专利法中的发明人身份与所有权,但对版权法具有重要启示。本文分析了现有司法路径在AI生成作品版权归属上的缺陷,并探讨了采纳AI所有者路径是否更优。论文认为,虽然合同可解决用户希望商业化使用输出时的权属问题,但该路径仍比现有其他方案提供更高确定性与更低交易成本。

原文摘要 · Abstract (English)

In Thaler v The Comptroller-General of Patents, Designs and Trade Marks (DABUS), Smith J. held that an AI owner can possibly claim patent ownership over an AI-generated invention based on their ownership and control of the AI system. This AI-owner approach reveals a new option to allocate property rights over AI-generated output. While this judgment was primarily about inventorship and ownership of AI-generated invention in patent law, it has important implications for copyright law. After analysing the weaknesses of applying existing judicial approaches to copyright ownership of AI-generated works, this paper examines whether the AI-owner approach is a better option for determining copyright ownership of AI-generated works. The paper argues that while contracts can be used to work around the AI-owner approach in scenarios where users want to commercially exploit the outputs, this approach still provides more certainty and less transaction costs for relevant parties than other approaches proposed so far.

AI版权产权归属法律框架

Thank you to arXiv for use of its open access interoperability. PaperDance 不是 arXiv 官方产品;中文卡片由大模型生成,请以原文为准。