Research on the Copyright Fair Use of Text Data Mining in Generative Artificial Intelligence Training

Jiayu Guo, Wei Lin, Xuan Liu

2025

Abstract

This paper focuses on the fair use of copyright in the text data mining in generative artificial intelligence training, makes staged analysis the infringement risks of TDM, explores the reasonableness of the fair use system for TDM and proposes a localized construction strategy by drawing on the overseas legislative experience. In China, Article 24 of the Copyright Law of the People's Republic of China (2020 Amendment) is difficult to cover its subject, purpose and data scale requirements. In other countries, EU adopts a "dual-track system" to distinguish between scientific research and general purposes, Japan expands the scope of exemption through the "generalization + enumeration + coverage" model, and the U.S. expands the scope of exemption through the "Transformative use" principle with the help of case law. Based on this, China needs to clarify the boundaries of the fair use of TDM and balance the rights and interests of copyright holders and the development of the AI industry and establish a data security mechanism to promote a dynamic balance between technological innovation and copyright protection.

Paper Citation

in Harvard Style

Guo J., Lin W. and Liu X. (2025). Research on the Copyright Fair Use of Text Data Mining in Generative Artificial Intelligence Training. In Proceedings of the 1st International Conference on Politics, Law, and Social Science - Volume 1: ICPLSS; ISBN 978-989-758-785-6, SciTePress, pages 232-240. DOI: 10.5220/0014360000004859

in Bibtex Style

@conference{icplss25,
author={Jiayu Guo and Wei Lin and Xuan Liu},
title={Research on the Copyright Fair Use of Text Data Mining in Generative Artificial Intelligence Training},
booktitle={Proceedings of the 1st International Conference on Politics, Law, and Social Science - Volume 1: ICPLSS},
year={2025},
pages={232-240},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0014360000004859},
isbn={978-989-758-785-6},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 1st International Conference on Politics, Law, and Social Science - Volume 1: ICPLSS
TI - Research on the Copyright Fair Use of Text Data Mining in Generative Artificial Intelligence Training
SN - 978-989-758-785-6
AU - Guo J.
AU - Lin W.
AU - Liu X.
PY - 2025
SP - 232
EP - 240
DO - 10.5220/0014360000004859
PB - SciTePress