Abstract
Artificial Intelligence (AI) generative technologies are increasingly reshaping the event and exhibition design industry by enhancing creativity, operational efficiency, and personalised engagement experiences. This study investigates the current state of generative design (GD) tools and AI platforms and analyses their use in the early stages of event planning, including ideation, layout generation and content automation. While these technologies can bring significant benefits, such as accelerated design cycles and improved collaboration between stakeholders, challenges remain in terms of human creativity. To address these issues, this study proposes a collaborative framework for the phased adoption of AI, a need to augment human expertise rather than replacing it. The study further outlines a future work plan that includes prototyping and internal testing within the event and exhibition company, followed by engagement with a wider range of stakeholders to refine the platform's functionality and usability. This iterative approach aims to ensure continuous improvement and adaptation in the rapidly evolving event technology landscape. The findings help to establish a fundamental understanding to support the responsible integration of generative AI in event design, fostering innovation whilst maintaining ethical standards and stakeholder engagement.
Keywords
Generative Design; Artificial Intelligence (AI); Event and Exhibition Design; User Experience; Design Process
DOI
https://doi.org/10.21606/iasdr.2025.968
Citation
Das, M., Dao, T., Jung, P.C., Leung, D.,and Liao, Y.(2025) Creative Frontiers: The Role of Generative AI in Transforming Event and Exhibition Design, in Chang, C.-Y., and Hsu, Y. (eds.), IASDR 2025: Design Next, 02-05 December, Taiwan. https://doi.org/10.21606/iasdr.2025.968
Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License
Conference Track
Track 4 - Human-Centered AI
Creative Frontiers: The Role of Generative AI in Transforming Event and Exhibition Design
Artificial Intelligence (AI) generative technologies are increasingly reshaping the event and exhibition design industry by enhancing creativity, operational efficiency, and personalised engagement experiences. This study investigates the current state of generative design (GD) tools and AI platforms and analyses their use in the early stages of event planning, including ideation, layout generation and content automation. While these technologies can bring significant benefits, such as accelerated design cycles and improved collaboration between stakeholders, challenges remain in terms of human creativity. To address these issues, this study proposes a collaborative framework for the phased adoption of AI, a need to augment human expertise rather than replacing it. The study further outlines a future work plan that includes prototyping and internal testing within the event and exhibition company, followed by engagement with a wider range of stakeholders to refine the platform's functionality and usability. This iterative approach aims to ensure continuous improvement and adaptation in the rapidly evolving event technology landscape. The findings help to establish a fundamental understanding to support the responsible integration of generative AI in event design, fostering innovation whilst maintaining ethical standards and stakeholder engagement.