From Adversarial Litigation to Licensing Markets AI Copyright Governance in Transition

DOI

10.2991/978-2-38476-611-6_64How to use a DOI?

Keywords

Artificial Intelligence; Copyright; Judicial Practice; Training Data Legitimacy; Licensing Market; Human Authorship Standard

Abstract

Against the backdrop of the explosive development of generative artificial intelligence (AI) technology, its widespread application in content production has exerted an all-around impact on the traditional copyright system, and the contradiction between legal lagging and technological advancement has become increasingly prominent. Taking the relationship between AI and copyright as the research theme, this paper focuses on typical judicial precedents, commercial disputes and industrial dynamics in major jurisdictions of China, the United States and the European Union from 2025 to 2026. Adopting empirical analysis and cross-jurisdictional comparison methods and integrating the ternary interactive framework of “technology–law–market”, it conducts research on the copyrightability of AI-generated content, the legitimacy of training data, the allocation of infringement liability, and the path for sustainable industrial development. The study finds that a global identification standard for copyrightability centered on “human contribution” has taken shape, AI copyright infringement presents a full-chain regulatory pattern, and the market-oriented licensing model has become a key path for the coordinated development of the industry. This research fills the gap in recent empirical studies on AI copyright, improves the analytical framework for the interdisciplinary field, and provides important references for legislative improvement, judicial adjudication and corporate compliance.

Copyright

© 2026 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 3.0 International License (http://creativecommons.org/licenses/by-nc/3.0/), 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.

Download article (PDF)

TY  - CONF
AU  - Hanyuan Liu
PY  - 2026
DA  - 2026/09/07
TI  - From Adversarial Litigation to Licensing Markets AI Copyright Governance in Transition
BT  - Proceedings of the 2026 12th International Conference on Digital Humanities and Frontiers in Social Sciences (DHFSS 2026)
PB  - Atlantis Press
SP  - 579
EP  - 593
SN  - 2352-5398
UR  - https://doi.org/10.2991/978-2-38476-611-6_64
DO  - 10.2991/978-2-38476-611-6_64
ID  - Liu2026
ER  -