Legal Response to the Copyrightability of AI-Generated Works: Eligibility Challenges, Copyright Acquisition, and Public Countermeasures

YANG Rui-qi

Journal of Beijing Jiaotong University(Social Sciences Edition) ›› 2025, Vol. 24 ›› Issue (4) : 138-147.

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Journal of Beijing Jiaotong University(Social Sciences Edition) ›› 2025, Vol. 24 ›› Issue (4) : 138-147.
Law Studies

Legal Response to the Copyrightability of AI-Generated Works: Eligibility Challenges, Copyright Acquisition, and Public Countermeasures

  • YANG Rui-qi
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Abstract

The copyright and copyrightability of artificial intelligence (AI) products are pressing academic issues that require resolution. Following traditional thinking, AI products are not considered copyrightable, necessitating a shift in legal perspective to explore copyright protection paths for AI products. From the object-oriented approach, AI products are an extension of human will, with AI simulating human will in an auxiliary manner. From the subject-oriented approach, AI products can be defined as special works made for hire or as special collaborative works, enabling natural or legal persons to obtain copyrights for AI products. Regarding the specific ownership of copyright, the concept of open-source software can be used as a reference for resolution. We can refer to the collective management system of copyright to confirm the copyrights of AI products, update legal interpretations to provide a jurisprudential basis for the legality of their copyright without amending legislation, and establish a review and supervision mechanism for AI products through public authority intervention.

Key words

AI-generated works / special works made for hire / copyrightability / collective copyright management

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YANG Rui-qi. Legal Response to the Copyrightability of AI-Generated Works: Eligibility Challenges, Copyright Acquisition, and Public Countermeasures[J]. Journal of Beijing Jiaotong University(Social Sciences Edition). 2025, 24(4): 138-147

References

1 赵欣,于雪、王前.危机与重构:机体哲学视域下人机共生的审思[J].科学技术哲学研究,2025,(2):115-121.
2 向安玲,沈阳.“天人智一”与人机共生进化[J/OL].西安交通大学学报(社会科学版),1-13[2025-05-30].http://kns.cnki.net/kcms/detail/61.1329.C.20250427.1412.002.html.
3 赵立峰,孙妍.从“人机共存”到“人机共生”——人机权力关系的可能性反转与重构[J].山东社会科学,2024,(9):149-156.
4 邓胜利,汪璠.AIGC治理的研究进展与发展趋势[J].数字图书馆论坛,2023,(11):20-28.
5 沙拉·拉姆丹.付费墙:被垄断的数据[M].黄尹旭,赵精武译.上海:上海人民出版社,2023:102.
6 丛立先,李泳霖.生成式AI的作品认定与版权归属——以ChatGPT的作品应用场景为例[J].山东大学学报(哲学社会科学版),2023,(4):171-181.
7 唐一力,牛思晗.论人工智能生成作品的权利主体及其著作权归属[J].福建论坛(人文社会科学版),2023,(11):107-122.
8 邓文.以ChatGPT为代表的生成式AI内容的可版权性研究[J].政治与法律,2023,(9):84-97.
9 王迁.Chatgpt生成的内容受著作权法保护吗?[J].探索与争鸣,2023,(3):17-20.
10 王迁.著作权法[M].北京:中国人民大学出版社,2023:20.
11 杜振雷,刘金婷,史金鹏.ChatGPT及其核心技术在科技名词规范化中的应用潜力与挑战[J].中国科技术语,2023,(4):42-54.
12 罗艺,陈佳星.生成式人工智能失范性风险的法律因应——以凯尔森规范性理论为视角[J].贵州大学学报(社会科学版),2023,(5):98-108.
13 翟尤,郭晓静,曾宣玮.AIGC未来已来:迈向通用人工智能时代[M].北京:人民邮电出版社,2023:34.
14 孔祥俊.人工智能知识产权保护的现状与前瞻[EB/OL].(2019-08-30)[2025-05-20].https://www.qstheory.cn/science/2019-08/30/c_1124940012.htm.
15 [德]图比亚斯·莱特.德国著作权法:第 2版[M].张怀岭,吴逸越译.北京:中国人民大学出版社,2019:26.
16 美国版权法[M].《十二国著作权法》翻译组译,北京:清华大学出版社,2011:785.
17 艾瑞咨询.2023年中国科技与IT十大趋势[EB/OL].(2023-05-12)[2025-05-20].https://finance.sina.cn/tech/2023-05-12/detail-imytmwws3936987.d.html?from=wap.
18 郑飞,夏晨斌.生成式人工智能的著作权困境与制度应对——以ChatGPT和文心一言为例[J].科技与法律(中英文),2023,(5):86-96.
19 刘杰勇.论人工智能生成内容的著作权保护——基于比较法的视角[J].比较法研究,2024,(4):176-193.
20 孙伟平.智能时代的新型人机关系及其构建[J].湖北大学学报(哲学社会科学版),2023,(3):18-25+168.
21 马克·罗斯.版权的起源[M].杨明译.北京:商务印书馆,2018:231.
22 CHANDER A, SUN H. Data sovereignty: from the digital silk road to the return of the state[M].New York: Oxford University Press, 2023:21.
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