Proceedings of the 2023 3rd International Conference on Public Management and Intelligent Society (PMIS 2023)

<Previous Article In Volume
Next Article In Volume>

Innovation or Piracy? Empirically Demarcating AI Painting Copyright Infringement Boundary

Authors
Zihang Lan1, Shuhan Yang1, Rui Fan1, Bo Zhao1, Yanru Yan1, *
1Faculty of Law, Macau University of Science and Technology, Avenida Wai Long, Taipa, 999078, Macau SAR, China
*Corresponding author. Email: 1032026396@qq.com
Corresponding Author
Yanru Yan
Available Online 26 July 2023.
DOI
10.2991/978-94-6463-200-2_143How to use a DOI?
Keywords
AI Painting; Substantial Similarity; Idea-expression Dichotomy; Copyright Infringement; Overfitting; Stable Diffusion
Abstract

In the face of intense debates regarding AI painting copyright infringement, this study argues that AI painting should be considered a distinct art form that should be regulated separately from collage works because only the small-memory trained algorithm advanced to the algorithm creative stage, while the possibly copyright-infringing collage dataset did not. The sporadic occurrence of substantial similarity is attributable to the aberrant overfitting of AI painting algorithms, which will replicate the expression of the original work. If AI algorithm providers are aware of overfitting and do not attempt to avoid it or include additional filtering algorithms, it should be considered piracy. In contrast, other appropriately fitting AI paintings do not constitute copyright infringement since it is a process of integrating ideas rather than collaging expression according to the idea-expression dichotomy.

Copyright
© 2023 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.

Download article (PDF)

<Previous Article In Volume
Next Article In Volume>
Volume Title
Proceedings of the 2023 3rd International Conference on Public Management and Intelligent Society (PMIS 2023)
Series
Atlantis Highlights in Intelligent Systems
Publication Date
26 July 2023
ISBN
10.2991/978-94-6463-200-2_143
ISSN
2589-4919
DOI
10.2991/978-94-6463-200-2_143How to use a DOI?
Copyright
© 2023 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

risenwbib
TY  - CONF
AU  - Zihang Lan
AU  - Shuhan Yang
AU  - Rui Fan
AU  - Bo Zhao
AU  - Yanru Yan
PY  - 2023
DA  - 2023/07/26
TI  - Innovation or Piracy? Empirically Demarcating AI Painting Copyright Infringement Boundary
BT  - Proceedings of the 2023 3rd International Conference on Public Management and Intelligent Society (PMIS 2023)
PB  - Atlantis Press
SP  - 1328
EP  - 1341
SN  - 2589-4919
UR  - https://doi.org/10.2991/978-94-6463-200-2_143
DO  - 10.2991/978-94-6463-200-2_143
ID  - Lan2023
ER  -