基于“思想–表达”二分法对人工智能生成内容独创性分析
An Analysis of the Originality of Artificial Intelligence-Generated Content (AIGC) Based on the “Idea-Expression” Dichotomy
摘要: 本文围绕人工智能生成内容(AIGC)在著作权法中的定位与独创性认定问题展开研究,旨在明确AIGC著作权保护的边界与判断标准。首先回顾著作权法核心规定,强调作品创作需以人的自由意志和智力活动为主导;继而引入“思想–表达”二分法,深入探讨提示词的法律属性及其“思想”与“表达”的界定边界;结合“抽象–过滤–表达”三分法分析框架,剖析AIGC著作权保护的短期激励效应与长期技术发展的平衡关系;提出以“提示词详细程度、用户修改迭代次数、结果选择编排程度”为核心的“人的主导性地位”判断因素,构建更为具体可操作的独创性认定标准;通过“主提示词–从提示词”分类体系,优化三分法的实践应用路径;最后结合国际立法与判例经验,为我国AIGC著作权制度完善提供参考。研究认为,提高AIGC著作权获得门槛,聚焦用户实质性智力贡献的审查,是兼顾创作激励与技术创新的合理路径。
Abstract: This paper focuses on the positioning and originality determination of Artificial Intelligence-Generated Content (AIGC) in copyright law, aiming to clarify the boundaries and judgment criteria for AIGC copyright protection. It first reviews the core provisions of copyright law, emphasizing that the creation of works must be dominated by human free will and intellectual activities. Then, it introduces the “idea-expression dichotomy” to conduct an in-depth discussion on the legal nature of prompts and the boundary between their “idea” and “expression”. Combined with the analytical framework of the “abstraction-filtration-comparison test”, it analyzes the balance between the short-term incentive effects of AIGC copyright protection and long-term technological development. The paper proposes specific and operable originality determination criteria centered on the judgment factors of “human dominant position”, including the detail level of prompts, the number of user modifications and iterations, and the degree of selection and arrangement of results. It optimizes the practical application path of the three-part test through the classification system of “primary prompt-secondary prompt”. Finally, it provides references for the improvement of China’s AIGC copyright system by referring to international legislative and judicial precedents. The study holds that raising the threshold for AIGC to obtain copyright and focusing on the review of users’ substantive intellectual contributions is a reasonable path to balance creative incentives and technological innovation.
参考文献
|
[1]
|
中华人民共和国著作权法实施条例[Z]. 2013.
|
|
[2]
|
王迁. 三论人工智能生成的内容在著作权法中的定位[J]. 法商研究, 2024, 41(3): 182-200.
|
|
[3]
|
崔国斌. 人工智能生成物中用户的独创性贡献[J]. 中国版权, 2023(6): 15-23.
|
|
[4]
|
崔国斌. 著作权法原理与案例[M]. 北京: 北京大学出版社, 2020: 127-132.
|
|
[5]
|
北京市高级人民法院民事判决书(2015)高民(知)终字第1136号[Z]. 2015.
|
|
[6]
|
张湖月, 杨颂. 生成式人工智能与版权: 动态视角[J]. 环球法律评论, 2023, 45(4): 135-150.
|
|
[7]
|
周文康, 费艳颖. 生成式人工智能创作使用作品的合理使用调适[J]. 科技与法律(中英文), 2024(3): 77-87.
|
|
[8]
|
United States Copyright Office (2023) Registration Guidance: Works Containing Material Generated by Artificial Intelligence.
|
|
[9]
|
European Commission (2021) Proposal for a Regulation of the European Parliament and of the Council Laying Down Harmonised Rules on Artificial Intelligence (AI Act).
|
|
[10]
|
朱阁. 人工智能生成内容的著作权保护路径探析[J]. 中国法律评论, 2024(3): 29-45.
|
|
[11]
|
喻玫. 数字化时代财产权建构范式的转变: 著作权可分割理论的当代价值[J]. 人民论坛∙学术前沿, 2023(15): 100-104.
|
|
[12]
|
刘春田. 知识产权法[M]. 北京: 高等教育出版社, 2022: 89-93.
|
|
[13]
|
李明德. 著作权法教程[M]. 北京: 法律出版社, 2021: 76-81.
|
|
[14]
|
王利明. 人工智能时代的法律挑战与应对[J]. 中国社会科学, 2023(2): 125-142.
|
|
[15]
|
吴汉东. 知识产权法学[M]. 北京: 北京大学出版社, 2020: 102-107.
|
|
[16]
|
Ginsburg, J. (2022) Copyright and Artificial Intelligence: A Primer. Columbia Journal of Law & the Arts, 45, 189-210.
|
|
[17]
|
Bently, L. and Davis, J. (2021) Copyright Law: Cases, Materials and Commentary. Oxford University Press, 345-352.
|