Communications in Humanities Research
- The Open Access Proceedings Series for Conferences
Communications in Humanities Research
Vol. 13, 20 November 2023
Open
Access | Article
Study on the Copyright Protection of Artificial Intelligence Generated Objects
* Author to whom correspondence should be addressed.
Abstract
With the emergence of a new round of scientific and technological revolution characterized by intelligence, China has made rapid progress in the field of artificial intelligence. However, this new concept of artificial intelligence has not yet been fully integrated into the existing legal system, leading to legal dilemmas and systemic obstacles such as unclear attribution of the work, uncertain subject of the right, and unclear path of protection for the content generated by it. The traditional copyright protection model, concerning the generation of artificial intelligence, shows obvious maladaptation in terms of copyright generation, protection period, and content. Hence, there is a need to explore a copyright protection model suitable for artificial intelligence, namely the neighboring rights protection model, while considering relevant legislative practices from other countries dealing with AI-generated content. This paper aims to investigate the neighboring right protection model, which is an adaptable copyright protection model for AI-generated objects, and to draw insights from overseas legislative practices on AI-generated objects.
Keywords
artificial intelligence, copyright, legal protection
References
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Data Availability
The datasets used and/or analyzed during the current study will be available from the authors upon reasonable request.
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- Volume Title
- Proceedings of the International Conference on Global Politics and Socio-Humanities
- ISBN (Print)
- 978-1-83558-115-5
- ISBN (Online)
- 978-1-83558-116-2
- Published Date
- 20 November 2023
- Series
- Communications in Humanities Research
- ISSN (Print)
- 2753-7064
- ISSN (Online)
- 2753-7072
- DOI
- 10.54254/2753-7064/13/20230190
- Copyright
- 20 November 2023
- Open Access
- This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited