The Dilemma and Regulation of the Application of the Fair Use Doctrine in the Context of Generative Artificial Intelligence—A Comparative Study of China and the United States

Xinjie Li

doi:10.54254/2754-1169/2026.LD30190

Article Information

Received: 25 November 2025

Published: 3 December 2025

DOI: https://doi.org/10.54254/2754-1169/2026.LD30190

Article Type: Research Article

Cite this article

Li,X. (2025). The Dilemma and Regulation of the Application of the Fair Use Doctrine in the Context of Generative Artificial Intelligence—A Comparative Study of China and the United States. Advances in Economics, Management and Political Sciences,247,69-76.

Data availability

The datasets used and/or analyzed during the current study will be available from the authors upon reasonable request.

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About this Volume

Volume Title: AEMPS Vol.247

Part of Series: Advances in Economics, Management and Political Sciences

ISSN: 2754-1169 (Print) / 2754-1177 (Online)

Copyright & License

[1]Chen, Y. M., & Hao, Y. T. (2025) The Application of “Fair Use” in Generative AI from a Copyright Perspective: An Analysis Centred on Relevant Cases under the US Copyright Act. International Economic Law Journal, 3, 87-101.

[2]Carlini, N., Hayes, J., Nasr, M., Jagielsk, M., Sehwag, V., Tramèr, F., Balle, B., Ippolito, D. and Wallace, E. (2023, Jan 30). Extracting Training Data from Diffusion Models. Retrieved from arXiv. https: //doi.org/10.48550/ARXIV.2301.13188

[3]Xu, Y.W. (2025) An Exploration of Fair Use Rules for Data in the Context of Artificial Intelligence: A Perspective on the Application and Improvement of the Copyright Fair Use Catch-All Clause. Journal of South-Central University for Nationalities (Humanities and Social Sciences Edition), 45(7), 171-180.

[4]Jiao, H.P. (2022) Copyright Risks and Mitigation Pathways in Data Acquisition and Utilisation for AI-Generated Works. Contemporary Jurisprudence, 4, 128-140.

[5]Daniel, S. (2018) Deep Copyright: Up- and Downstream Questions Related to Artificial Intelligence and Machine Learning. Zeitschrift für geistiges Eigentum (ZGE), 10(1), 35-58.

[6]Vilasini, N. (2024) Updating Copyright: Why Generative Artificial Intelligence Systems Should Be Protected Under the Fair Use Doctrine. Columbia Undergraduate Law Review, 21(1), 131-161.

[7]Liu, X.C. (2024) Non-Works Use in Generative Artificial Intelligence Data Training and Its Legal Justification. Law Forum, 3, 67-78.

[8]Wang, Q., Chu, C. (2024) An Initial Exploration of the Boundaries Between Artificial Intelligence and Copyright: Legal Challenges and Reflections in the Context of Technological Advancement. Chinese Editor, 8, 56-62.

[9]Pkulaw. (2024, Dec 30). Civil Judgment Zhe 01 Minzhong No. 10332. Retrieved from https: //www.pkulaw.com/pfnl/08df102e7c10f2063ff4650f0ed9f68992b6c6ad58d67345bdfb.html

[10]Westlaw. (2015, Oct 16). Authors Guild v. Google Inc 13-4829(2d Cir.). Retrieved from https: //1.next.westlaw.com/Document/I918674d4743311e5a807ad48145ed9f1/View/FullText.html

[11]Zhang, J.Y., Wang S.F. (2024) A Study on Fair Use of Copyright in Large Model Data Training. Journal of East China University of Political Science and Law, 4, 20-33.

[12]Andrew, W. T., Bill T. (2023) Training is Everything: Artificial Intelligence, Copyright, and “Fair Training. Dickinson Law Review, 128(1), 233-256.

[13]Xiong, Q. (2025) Solutions to Frontier Controversies in Chinese Copyright Law. Journal of China Jiaotong University Law, 5, 11-23.