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Emerging Uses of AI-Generated Images for Equitable and Transparent Simulations

Title: Emerging Uses of AI-Generated Images for Equitable and Transparent Simulations
Authors: Giabbanelli, Philippe J.; Shoele, Kourosh; Witherow, Megan A.
Source: VMASC Publications
Publisher Information: ODU Digital Commons
Publication Year: 2025
Collection: Old Dominion University: ODU Digital Commons
Subject Terms: Agent-based modeling; Artificial intelligence — Moral and ethical aspects; Bias in artificial intelligence; Computational fluid dynamics — Computer simulation; Computer simulation — Social aspects; Decision making — Psychological aspects; Generative models (Artificial intelligence); Human–computer interaction; Image processing — Computer simulation; Transparency in government; Artificial Intelligence and Robotics; Computer Sciences; Philosophy of Science
Description: 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.
Document Type: conference object
Language: unknown
Relation: https://digitalcommons.odu.edu/vmasc_pubs/149; https://doi.org/10.1609/aaaiss.v7i1.36862
DOI: 10.1609/aaaiss.v7i1.36862
Availability: https://digitalcommons.odu.edu/vmasc_pubs/149; https://doi.org/10.1609/aaaiss.v7i1.36862
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."
Accession Number: edsbas.266D64B8
Database: BASE