Study on Copyright Infringement Issues of Music Generated by Generative Artificial Intelligence

DOI

10.2991/978-2-38476-551-5_124How to use a DOI?

Keywords

Generative Artificial Intelligence; Music Copyright; Infringement Determination; Responsibility Division

Abstract

With the continuous iteration of current technology, generative artificial intelligence technology is fundamentally reshaping the pattern of the music industry. The application rate of domestic AIGC music generation tools has reached 35%, contributing more than 15 billion yuan in new output value. However, copyright infringement issues have become prominent accordingly. This study focuses on the core contradictions of AIGC music copyright, including disputes over the definition of work attributes, ambiguous copyright ownership, difficulties in determining “access and substantial similarity”, and challenges in dividing responsibilities among multiple subjects. It adopts literature research, case analysis and comparative research methods to analyze typical cases in China and the United States and differences in legal practices. The study finds that China focuses on statutory strong supervision, while the United States relies on case law and a flexible balance mechanism. Addressing the issues requires multi-faceted efforts. The study proposes strategies such as improving legislation, technological innovation, industry collaboration and international cooperation. These strategies aim to achieve a balance between technological innovation and copyright protection and promote the sustainable development of the music industry.

Copyright

© 2026 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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TY  - CONF
AU  - Yixiao Yang
PY  - 2026
DA  - 2026/03/26
TI  - Study on Copyright Infringement Issues of Music Generated by Generative Artificial Intelligence
BT  - Proceeding of 2025 8th International Conference on Humanities Education and Social Sciences (ICHESS 2025)
PB  - Atlantis Press
SP  - 1142
EP  - 1152
SN  - 2352-5398
UR  - https://doi.org/10.2991/978-2-38476-551-5_124
DO  - 10.2991/978-2-38476-551-5_124
ID  - Yang2026
ER  -