Issue |
SHS Web of Conf.
Volume 178, 2023
3rd International Conference on Public Relations and Social Sciences (ICPRSS 2023)
|
|
---|---|---|
Article Number | 01015 | |
Number of page(s) | 4 | |
Section | Social Governance and Public Relations Practice | |
DOI | https://doi.org/10.1051/shsconf/202317801015 | |
Published online | 23 October 2023 |
The Comparative Analysis of Fair Use of Works in Machine Learning
1 Shenyang University of Technology, Shenyang, China
2 School of Law, Sapienza University of Rome, Rome, Italy.
* Corresponding author: elainejoo@126.com
Before generative AI outputs the content, it copies a large amount of text content. This process is machine learning. For the development of artificial intelligence technology and cultural prosperity, many countries have included machine learning within the scope of fair use. However, China’s copyright law currently does not legislate the fair use of machine learning works. This paper will construct a Chinese model of fair use of machine learning works through comparative analysis of the legislation of other countries. This is a fair use model that balances the flexibility of the United States with the rigor of the European Union.
© The Authors, published by EDP Sciences, 2023
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.