A Study of Copyright Issues in the Input Phase of Generative Artificial Intelligence Machine Learning

Weixi Song

2025

Abstract

In recent years, the rapid progress of generative AI technology has had a profound impact and transformative impact on multiple dimensions such as technological innovation, cultural evolution, and education model transformation. Among the many complex issues raised by generative AI, the input phase of machine learning is highly dependent on the input of massive amounts of data, which often cover the scope of content protected by intellectual property rights, which has led to copyright disputes. This reality has directly led to the deep contradictions and fierce conflicts between the traditional copyright industry and the emerging artificial intelligence industry.Although the traditional solutions proposed by scholars can adjust the contradiction between the two to a certain extent, there is still room for improvement. This paper explores a new mechanism that conforms to the principle of balance of interests to solve the problem of infringement in the input stage of machine learning.

Paper Citation

in Harvard Style

Song W. (2025). A Study of Copyright Issues in the Input Phase of Generative Artificial Intelligence Machine Learning. In Proceedings of the 1st International Conference on Innovative Education and Social Development - Volume 1: IESD; ISBN 978-989-758-779-5, SciTePress, pages 180-186. DOI: 10.5220/0013975800004912

in Bibtex Style

@conference{iesd25,
author={Weixi Song},
title={A Study of Copyright Issues in the Input Phase of Generative Artificial Intelligence Machine Learning},
booktitle={Proceedings of the 1st International Conference on Innovative Education and Social Development - Volume 1: IESD},
year={2025},
pages={180-186},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0013975800004912},
isbn={978-989-758-779-5},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 1st International Conference on Innovative Education and Social Development - Volume 1: IESD
TI - A Study of Copyright Issues in the Input Phase of Generative Artificial Intelligence Machine Learning
SN - 978-989-758-779-5
AU - Song W.
PY - 2025
SP - 180
EP - 186
DO - 10.5220/0013975800004912
PB - SciTePress