Foregrounding Artist Opinions: A Survey Study on Transparency, Ownership, and Fairness in AI Generative Art
Open accessAbstract
Generative AI tools are used to create art-like outputs and sometimes aid in the creative process. These tools have potential benefits for artists, but they also have the potential to harm the art workforce and infringe upon artistic and intellectual property rights. Without explicit consent from artists, Generative AI creators scrape artists' digital work to train Generative AI models and produce art-like outputs at scale. These outputs are now being used to compete with human artists in the marketplace as well as being used by some artists in their generative processes to create art. We surveyed 459 artists to investigate the tension between artists' opinions on Generative AI art's potential utility and harm. This study surveys artists' opinions on the utility and threat of Generative AI art models, fair practices in the disclosure of artistic works in AI art training models, ownership and rights of AI art derivatives, and fair compensation. Results show that a majority of artists believe creators should disclose what art is being used in AI training, that AI outputs should not belong to model creators, and express concerns about AI's impact on the art workforce and who profits from their art. We hope the results of this work will further meaningful collaboration and alignment between the art community and Generative AI researchers and developers.
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Recent investigations into creative communities have revealed widespread apprehension regarding unauthorized use of artistic works in AI training.
“Recent investigations into creative communities have revealed widespread apprehension regarding the unauthorized use of artistic works in AI training (Kyi et al., 2025;Lovato et al., 2024).”
From Fanfiction in the Age of AI: Community Perspectives on Creativity, Authenticity and Adoption (2026) · cites this paper as Lovato et al., 2024
Questions of agency, visibility, and ownership are not evenly distributed within sociotechnical systems.
“As Jo and Gebru (2020) and Lovato et al. (2024) note, questions of agency, visibility, and ownership are not evenly distributed within these sociotechnical systems.”
From Fanfiction in the Age of AI: Community Perspectives on Creativity, Authenticity and Adoption (2026) · cites this paper as Lovato et al. (2024)
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Rafner, J., Zana, B., Bang Hansen, I., Ceh, S., Sherson, J., Benedek, M., & Lebuda, I. (2025) · Creativity Research Journal · doi:10.1080/10400419.2025.2587803 · Cited by 38 · see citing works
Fanfiction in the Age of AI: Community Perspectives on Creativity, Authenticity and Adoption
Alfassi, R., Cooper, A., Mitchell, Z., Calabro, M., Shaer, O., & Mokryn, O. (2026) · International Journal of Human–Computer Interaction · doi:10.1080/10447318.2025.2531272 · Cited by 4 · see citing works
- Authors
- Lovato, J., Zimmerman, J. W., Smith, I., Dodds, P., & Karson, J. L.
- Affiliations
- University of Vermont (US)
- Venue
- Proceedings of the AAAI/ACM Conference on AI, Ethics, and Society
- Published
- 2024-10-16
- Volume
- 7
- Pages
- 905-916
- ISSN
- 3065-8365 (ISSN-L)
- OpenAlex
- W4404518214
- Cited by
- 33
- References
- 0
- Citations by year
- 2026: 18 · 2025: 13 · 2024: 2
- FWCI
- 15.06
- Type
- conference paper
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- Proceedings of the AAAI/ACM Conference on AI Ethics and Society (publishedVersion)
- arXiv (Cornell University) (submittedVersion, cc-by-nc-nd)
- arXiv (Cornell University)
- Funders
- National Science Foundation (2242829)
- Alfred P. Sloan Foundation
- Topics
- Social Sciences › Safety Research › Ethics and Social Impacts of AI
- Physical Sciences › Computer Science › Artificial Intelligence › Law, AI, and Intellectual Property
- Social Sciences › Arts and Humanities › Visual Arts and Performing Arts › Art, Technology, and Culture
- Keywords
- AI-generated art, intellectual property, copyright infringement
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