Emerging Uses of AI-Generated Images for Equitable and Transparent Simulations
Document Type
Conference Paper
Publication Date
2025
DOI
10.1609/aaaiss.v7i1.36862
Publication Title
Proceedings of the AAAI Symposium Series
Volume
7
Issue
1
Pages
20-25
Conference Name
2025 AAAI Fall Symposium Series, November 6-8, 2025, Arlington, Virginia
Abstract
Despite the maturity of AI image generation, integration of generative AI in M&S has primarily been limited to text. This paper presents a vision for the use of AI-generated images in M&S with an emphasis on equity and transparency. We suggest several emerging use cases including AI-generated images acting as interfaces between agent-based models and physics-based simulations, encouraging empathetic decision-making by visualizing individual agents, and promoting transparency with symbolic representations that complement textual descriptions of abstract model processes. Finally, we discuss the mitigation of ethical issues related to the deployment of AI-generated images in M&S.
Rights
© 2023, Association for the Advancement of Artificial Intelligence. All rights reserved.
"In the Returned Rights section of the AAAI copyright form, authors are specifically granted back the right to use their own papers for noncommercial uses, such as inclusion in their dissertations or the right to deposit their own papers in their institutional repositories, provided there is proper attribution. The published version is not available for posting outside the AAAI Digital Library. No further permission is required."
Original Publication Citation
Giabbanelli, P. J., Shoele, K., & Witherow, M. A. (2025). Emerging uses of AI-generated images for equitable and transparent simulations. Proceedings of the AAAI Symposium Series, 7(1), 20-25. https://doi.org/10.1609/aaaiss.v7i1.36862
ORCID
0000-0001-6816-355X (Giabbanelli), 0000-0002-6578-4657 (Witherow)
Repository Citation
Giabbanelli, Philippe J.; Shoele, Kourosh; and Witherow, Megan A., "Emerging Uses of AI-Generated Images for Equitable and Transparent Simulations" (2025). VMASC Publications. 149.
https://digitalcommons.odu.edu/vmasc_pubs/149