Copyright protection paradigm in the generative AI era: originality, attribution, and infringement

This paper examines the copyright challenges raised by generative artificial intelligence (AI). It begins by analyzing the generative process, arguing that the originality of text prompts can serve as a basis for the copyrightability of AI-generated outputs. Accordingly, the study then explores the complex issue of attribution based on the proposed generative process, evaluating the competing claims of users, developers, and data providers, and proposes an ownership model that reflects the degree of creative contribution. Finally, the paper addresses infringement concerns, comparing regulatory approaches in the US, EU and China, and advocates a balanced protection framework that reconciles innovation with copyright safeguards.

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Publication Details

Journal
Advances in Social Behavior Research
Published
2025-09-29
DOI
https://doi.org/10.54254/2753-7102/2025.27484
Primary Topic
Law, AI, and Intellectual Property
Type
article
Field-Weighted Citation Impact
0.00
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article

Copyright protection paradigm in the generative AI era: originality, attribution, and infringement

Qinru Li
Advances in Social Behavior Research
Law, AI, and Intellectual Property
article

Copyright protection paradigm in the generative AI era: originality, attribution, and infringement

Qinru Li
article en

Abstract

This paper examines the copyright challenges raised by generative artificial intelligence (AI). It begins by analyzing the generative process, arguing that the originality of text prompts can serve as a basis for the copyrightability of AI-generated outputs. Accordingly, the study then explores the complex issue of attribution based on the proposed generative process, evaluating the competing claims of users, developers, and data providers, and proposes an ownership model that reflects the degree of creative contribution. Finally, the paper addresses infringement concerns, comparing regulatory approaches in the US, EU and China, and advocates a balanced protection framework that reconciles innovation with copyright safeguards.

Advances in Social Behavior ResearchVol. 16(8)
China University of Political Science and Law (CN)
Openalex Percentile: Top 86%
Law, AI, and Intellectual Property
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