A Study on Copyright and Attribution Issues in Artificial Intelligence Generated Content (AIGC)
- DOI
- 10.2991/978-2-38476-440-2_143How to use a DOI?
- Keywords
- ChatGPT; generative artificial intelligence; AIGC; copyright attribution
- Abstract
In Generative Artificial Intelligence (AI) represents a significant advancement in modern technology, yet there are currently no clear legal provisions regarding its nature and copyright attribution. International treaties and foreign legal precedents have suggested that generative creations can be recognized as works. An analysis of China's Copyright Law and relevant judicial practices reveals that for a generative object to qualify as a work, it must meet certain criteria: it should be an intellectual achievement in literature, art, or science; it must be expressed in a specific form; and it needs to demonstrate originality. Although AI technology plays a role in the creation process, it remains user-directed, meaning that the generated object reflects the author's thoughts. As a result, copyright should be attributed to the user. Furthermore, we can enhance the copyright attribution system for generative objects by strengthening the rules for confirming rights, establishing an additional management system, and clarifying responsibilities for infringement.
- Copyright
- © 2025 The Author(s)
- Open Access
- Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.
Cite this article
TY - CONF AU - Jin Mei PY - 2025 DA - 2025/07/10 TI - A Study on Copyright and Attribution Issues in Artificial Intelligence Generated Content (AIGC) BT - Proceedings of the 2025 11th International Conference on Humanities and Social Science Research(ICHSSR 2025) PB - Atlantis Press SP - 1270 EP - 1276 SN - 2352-5398 UR - https://doi.org/10.2991/978-2-38476-440-2_143 DO - 10.2991/978-2-38476-440-2_143 ID - Mei2025 ER -