Attribution of Copyright for Generative Artificial Intelligence Creations

Xiayang Dong

2025

Abstract

The generative artificial intelligence market is projected to surge from $40 billion in 2022 to $399 billion by 2027, revolutionizing creative paradigms through big data training to produce human-like outputs and reconfiguring the "human framework + AI supplementation" production model. This paper systematically examines the legal dilemmas and challenges in copyright determination for generative AI outputs, including difficulties in assessing copyrightability and complexities in rights allocation, based on global scholarly research and international judicial practices. The study advocates for constructing a tiered originality evaluation system, introducing a "substantial human involvement" criterion, refining liability-sharing mechanisms among AI developers, users, and rights holders, and establishing transnational AI copyright registration protocols. Through comparative analysis and case studies, the research elucidates mechanisms for balancing interests among creators, technologists, and the public in the digital age, providing theoretical and practical insights for developing copyright systems responsive to the AI era.

Paper Citation

in Harvard Style

Dong X. (2025). Attribution of Copyright for Generative Artificial Intelligence Creations. In Proceedings of the 1st International Conference on Politics, Law, and Social Science - Volume 1: ICPLSS; ISBN 978-989-758-785-6, SciTePress, pages 364-367. DOI: 10.5220/0014380900004859

in Bibtex Style

@conference{icplss25,
author={Xiayang Dong},
title={Attribution of Copyright for Generative Artificial Intelligence Creations},
booktitle={Proceedings of the 1st International Conference on Politics, Law, and Social Science - Volume 1: ICPLSS},
year={2025},
pages={364-367},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0014380900004859},
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 - Attribution of Copyright for Generative Artificial Intelligence Creations
SN - 978-989-758-785-6
AU - Dong X.
PY - 2025
SP - 364
EP - 367
DO - 10.5220/0014380900004859
PB - SciTePress