The Current State of Protection Against AI for Visual Artists

DOI

10.2991/978-94-6463-815-8_16How to use a DOI?

Keywords

Generative AI; artist; protection

Abstract

Visual artists find themselves scattered as generative AI continues to make its way into business and mundane life. Though the technology behind has the capacity to aid artists, their current usage conflicts with artist careers. In addition, behind popular AI models used today are mountains of stolen work and data used to train those very models. As a result, there have been recent research efforts into designing new technologies that help artists defend their work from being used by AI without permission. Moreover, there are multiple ongoing legal cases where the outcome could lead to more regulation of this newfound technology. However, in spite of these recent efforts, artists still continue to struggle because available protection methods remain esoteric and complicated. In this paper, multiple forms of protection for artists are discussed, listing various advantages and why they ultimately still fail. A survey was then conducted to garner artist opinions on what is available now. Furthermore, they were asked what they wanted to be changed in the future in order for artists and AI to co-exist without opposing each other.

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.

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TY  - CONF
AU  - Audrey Xu
PY  - 2025
DA  - 2025/08/13
TI  - The Current State of Protection Against AI for Visual Artists
BT  - Proceedings of the 2025 4th International Conference on Art Design and Digital Technology (ADDT 2025)
PB  - Atlantis Press
SP  - 132
EP  - 141
SN  - 2352-538X
UR  - https://doi.org/10.2991/978-94-6463-815-8_16
DO  - 10.2991/978-94-6463-815-8_16
ID  - Xu2025
ER  -