Research on the Ownership Determination of Copyright of Artificial Intelligence Generated Works

Hanxue He

2025

Abstract

Artificial intelligence technology's quick development has presented the legal system and legal positions with difficulties. Under the premise of recognizing that AI-generated works are copyrighted, in order to protect the legitimate rights and interests of copyright owners, the attribution of rights to AI-generated works is an issue worthy of in-depth study. After analyzing the advantages and limitations of each of the five attribution models: public domain model, developer model, artificial intelligence model, investor model and user model, it is concluded that it is more advantageous to attribute the rights of AI-generated objects to users. The user model is more in line with the principle of "who creates, who enjoys" in theory, and has been supported in judicial practice to provide legal basis. While attributing the artificial intelligence generation to the user, it is still necessary to think about how to maintain and reflect the legitimate interests of the other parties, in order to better adapt to the development of artificial intelligence.

Paper Citation

in Harvard Style

He H. (2025). Research on the Ownership Determination of Copyright of Artificial Intelligence 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 179-183. DOI: 10.5220/0014356000004859

in Bibtex Style

@conference{icplss25,
author={Hanxue He},
title={Research on the Ownership Determination of Copyright of Artificial Intelligence Generated Works},
booktitle={Proceedings of the 1st International Conference on Politics, Law, and Social Science - Volume 1: ICPLSS},
year={2025},
pages={179-183},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0014356000004859},
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 Ownership Determination of Copyright of Artificial Intelligence Generated Works
SN - 978-989-758-785-6
AU - He H.
PY - 2025
SP - 179
EP - 183
DO - 10.5220/0014356000004859
PB - SciTePress