Sharing instead of being infringed: How to build a responsible community for online artwork sharing?
Abstract
The development of internet and artificial intelligence technology promotes the dissemination of artworks but also increases the possibility of infringement. Designers who selflessly share their work risk having it stolen, plagiarized, sold, used directly as NFT, or used for AI training. In this paper, we conducted an exploratory study to investigate desingers' needs and solutions when faced with online artwork-sharing infringement. We held two workshops to discuss design plagiarism and illegal AI-art data training. Ultimately, the team arrived at seven solutions for addressing potential infringement issues that arise when sharing artwork online. Synthesizing the participants' evaluations and related research, we propose an ideal path for safeguarding copyright. We hope this path will help designers and platforms protect intellectual property rights and foster a positive network-sharing environment.
Keywords
copyright infringement; ai-generative art; artwork plagiarism; interdisciplinary team
DOI
https://doi.org/10.21606/drs.2024.417
Citation
Cui, S., Liu, F., Li, B., and Yuan, X. (2024) Sharing instead of being infringed: How to build a responsible community for online artwork sharing?, in Gray, C., Ciliotta Chehade, E., Hekkert, P., Forlano, L., Ciuccarelli, P., Lloyd, P. (eds.), DRS2024: Boston, 23–28 June, Boston, USA. https://doi.org/10.21606/drs.2024.417
Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License
Conference Track
Research Paper
Included in
Sharing instead of being infringed: How to build a responsible community for online artwork sharing?
The development of internet and artificial intelligence technology promotes the dissemination of artworks but also increases the possibility of infringement. Designers who selflessly share their work risk having it stolen, plagiarized, sold, used directly as NFT, or used for AI training. In this paper, we conducted an exploratory study to investigate desingers' needs and solutions when faced with online artwork-sharing infringement. We held two workshops to discuss design plagiarism and illegal AI-art data training. Ultimately, the team arrived at seven solutions for addressing potential infringement issues that arise when sharing artwork online. Synthesizing the participants' evaluations and related research, we propose an ideal path for safeguarding copyright. We hope this path will help designers and platforms protect intellectual property rights and foster a positive network-sharing environment.