Research on Copyright Infringement in AI-Generated Works

Tao Wen

2025

Abstract

The rapid evolution of generative artificial intelligence technologies has precipitated structural contradictions between their data-driven creative mechanisms and existing copyright frameworks, posing formidable challenges in determining copyright infringement for AI-generated content. This investigation centers on infringement characteristics across three critical phases—data acquisition, model training, and content generation—with empirical analysis revealing distinct patterns including traceability challenges, exponential proliferation of impacts, and chained distribution of liable entities. The conventional "access+substantial similarity" adjudication framework demonstrates inherent limitations when addressing the fragmented recombination nature of generated content, while judicial practices expose systemic deficiencies. To address challenges, the study proposes institutional innovations that encompass dynamic ownership determination protocols, the reconstruction of "substantial appropriation" criteria in originality assessment, and the refinement of fair use exemption clauses for machine learning applications, aiming to achieve synergistic integration of technological governance and legal regulation. Key findings underscore that establishing differentiated ownership allocation systems, implementing anti-plagiarism algorithm embedding technologies at the computational level, and precisely demarcating fair use boundaries constitute pivotal solutions to infringement disputes. Future research must prioritize methodological breakthroughs in infringement determination paradigms alongside advancements in intelligent detection toolkit development to navigate this evolving legal-technological frontier.

Paper Citation

in Harvard Style

Wen T. (2025). Research on Copyright Infringement in AI-Generated Works. In Proceedings of the 1st International Conference on Politics, Law, and Social Science - Volume 1: ICPLSS; ISBN 978-989-758-785-6, SciTePress, pages 184-190. DOI: 10.5220/0014359100004859

in Bibtex Style

@conference{icplss25,
author={Tao Wen},
title={Research on Copyright Infringement in AI-Generated Works},
booktitle={Proceedings of the 1st International Conference on Politics, Law, and Social Science - Volume 1: ICPLSS},
year={2025},
pages={184-190},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0014359100004859},
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 Copyright Infringement in AI-Generated Works
SN - 978-989-758-785-6
AU - Wen T.
PY - 2025
SP - 184
EP - 190
DO - 10.5220/0014359100004859
PB - SciTePress