Exploring the Copyright Subject Qualification of Generative Artificial Intelligence

本文聚焦生成式人工智能著作权主体资格,围绕人工智能生成内容是否构成作品及著作权归属等争议焦点进行剖析,进而指出由于人工智能不具备人类特有的意志表达能力和人格属性,现行著作权法律体系难以将其纳入权利主体范畴,但若将智能生成物解释为人类的作品将导致著作权法中创作标准的失衡,且模糊了创作与辅助创作的界限。为此,本文提出构建人机共存的二元作者体系,同时确立以人类为核心的权利分配机制,以此合理回应人工智能创作的现实需求,推动著作权法向多元化、适应性方向发展。This paper focuses on the issue of copyright authorship in the context of generative artificial intelligence. It analyzes key controversies surrounding whether AI-generated content constitutes a “work” under copyright law and who should hold the copyright. The paper argues that due to the lack of human-specific qualities such as autonomous will and personality, generative AI cannot currently be recognized as a legal subject within the existing copyright framework. However, attributing AI-generated content to humans as works may undermine the standard of originality in copyright law and blur the line between creation and assisted creation. To address these challenges, this paper proposes a dual authorship system that accommodates both humans and machines, while establishing a human-centered mechanism for rights allocation. This approach aims to respond to the practical needs of AI-generated creations and promote the evolution of copyright law toward greater diversity and adaptability.

Authors

Publication Details

Journal
Open Journal of Legal Science
Published
2025-01-01
DOI
https://doi.org/10.12677/ojls.2025.136167
Citations
1
Primary Topic
Law, AI, and Intellectual Property
Type
article
Field-Weighted Citation Impact
2.48
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Exploring the Copyright Subject Qualification of Generative Artificial Intelligence

想 李
1 citations
Open Journal of Legal Science
Law, AI, and Intellectual Property
2.48
article

Exploring the Copyright Subject Qualification of Generative Artificial Intelligence

想 李
article en
1 citations

Abstract

本文聚焦生成式人工智能著作权主体资格,围绕人工智能生成内容是否构成作品及著作权归属等争议焦点进行剖析,进而指出由于人工智能不具备人类特有的意志表达能力和人格属性,现行著作权法律体系难以将其纳入权利主体范畴,但若将智能生成物解释为人类的作品将导致著作权法中创作标准的失衡,且模糊了创作与辅助创作的界限。为此,本文提出构建人机共存的二元作者体系,同时确立以人类为核心的权利分配机制,以此合理回应人工智能创作的现实需求,推动著作权法向多元化、适应性方向发展。This paper focuses on the issue of copyright authorship in the context of generative artificial intelligence. It analyzes key controversies surrounding whether AI-generated content constitutes a “work” under copyright law and who should hold the copyright. The paper argues that due to the lack of human-specific qualities such as autonomous will and personality, generative AI cannot currently be recognized as a legal subject within the existing copyright framework. However, attributing AI-generated content to humans as works may undermine the standard of originality in copyright law and blur the line between creation and assisted creation. To address these challenges, this paper proposes a dual authorship system that accommodates both humans and machines, while establishing a human-centered mechanism for rights allocation. This approach aims to respond to the practical needs of AI-generated creations and promote the evolution of copyright law toward greater diversity and adaptability.

Open Journal of Legal ScienceVol. 13(06)
Openalex Percentile: Top 10%
Law, AI, and Intellectual Property
2.48
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Exploring the Copyright Subject Qualification of Generative Artificial Intelligence — 想 李 · Open Journal of Legal Science (2025) | TGRS Research Map | TGRS