Spazio immateriale
Dall’immaginario all’AI: Nuove forme di progetto tra design, architettura e sistemi generativi
Parole chiave:
Immaterial Space, Generative Artificial Intelligence, Synthetic Design, Human–AI Co-creation, Design Creativity
Abstract
Il testo esplora come l’intelligenza artificiale generativa trasformi lo spazio immateriale del progetto, ridefinendo le relazioni tra immaginario, creatività e rappresentazione nel design e nell’architettura. Attraverso un approccio qualitativo-interpretativo, introduce il concetto di progetto sintetico, fondato sull’interazione tra l’intenzionalità umana, la memoria culturale e la generazione algoritmica. L’analisi evidenzia come deviazioni, selezioni e verifiche critiche trasformino le possibilità generate in scelte progettuali consapevoli, riaffermando il ruolo interpretativo e la responsabilità del progettista.
Riferimenti bibliografici
- Avelino, R. M., Sevastjanova, R., Van Mele, T., Block, P., & El-Assady, M. (2026). Creativity from friction: Human–AI interaction for exploratory structural design. arXiv. doi:10.48550/arXiv.2607.07521.
- Benjamin, J. J., Lindley, J., Edwards, E., Rubegni, E., Korjakow, T., Grist, D., & Sharkey, R. (2024). Responding to generative AI technologies with Research-through-Design: The Ryelands AI Lab as an exploratory study. In Proceedings of the 2024 ACM Designing Interactive Systems Conference (DIS ’24) (pp. 1823–1841). Association for Computing Machinery. doi:10.1145/3643834.3660677.
- Cheng, X., & Zhang, L. (2025). Inspiration booster or creative fixation? The dual mechanisms of LLMs in shaping individual creativity in tasks of different complexity. Humanities and Social Sciences Communications, 12, 1563. doi:10.1057/s41599-025-05867-9.
- Gupta, R., & Kyaw, A. H. (2025). Insights informed generative AI for design: Incorporating real-world data for text-to-image output. arXiv. doi:10.48550/arXiv.2506.15008.
- Hosanagar, K., & Ahn, D. (2024). Designing human and generative AI collaboration. arXiv. doi:10.48550/arXiv.2412.14199.
- Hu, X., Xing, Y., Cai, X., Zhao, Y., Cook, M., Borgo, R., & Neate, T. (2025). Designing interactions with generative AI for art and creativity: A systematic review and taxonomy. In Proceedings of the 2025 ACM Designing Interactive Systems Conference (pp. 1126–1155). Association for Computing Machinery. doi:10.1145/3715336.3735843.
- Jang, S., Roh, H., & Lee, G. (2025). Generative AI in architectural design: Application, data, and evaluation methods. Automation in Construction, 174, 106174. doi:10.1016/j.autcon.2025.106174.
- Jiang, B. (2026). AI for architecture: From style-driven generation to structure-guided design. Journal of Urban Management. Advance online publication. doi:10.1016/j.jum.2026.100535.
- Lee, S., & Kang, S. (2025). The influence of generative AI with prompt engineering on creative design in architectural education. Journal of Asian Architecture and Building Engineering. Advance online publication. doi:10.1080/13467581.2025.2552446.
- Li, C., Zhang, T., Du, X., Zhang, Y., & Xie, H. (2024). Generative AI models for different steps in architectural design: A literature review. arXiv. doi:10.48550/arXiv.2404.01335.
- Martins, J., & Durmaz-Drinkwater, B. (2026). The impact of AI on urban design practice: Exploring practitioners’ perspectives. Journal of Urban Design. Advance online publication. doi:10.1080/13574809.2026.2646150.
- McGuire, J., De Cremer, D., & Van de Cruys, T. (2024). Establishing the importance of co-creation and self-efficacy in creative collaboration with artificial intelligence. Scientific Reports, 14, 18525. doi:10.1038/s41598-024-69423-2.
- Paananen, V., Oppenlaender, J., & Visuri, A. (2024). Using text-to-image generation for architectural design ideation. International Journal of Architectural Computing, 22(3), 458–474. doi:10.1177/14780771231222783.
- Schneider, J., Kilic, S., & Stockhammer, D. (2024). Empowering clients: Transformation of design processes due to generative AI. arXiv. doi:10.48550/arXiv.2411.15061.
- Tan, L., & Luhrs, M. (2024). Using generative AI Midjourney to enhance divergent and convergent thinking in an architect’s creative design process. The Design Journal. doi:10.1080/14606925.2024.2353479.
- Vaccaro, M., Almaatouq, A., & Malone, T. W. (2024). When combinations of humans and AI are useful: A systematic review and meta-analysis. Nature Human Behaviour, 8(12), 2293–2303. doi:10.1038/s41562-024-02024-1.
- Yu, W. F. (2025). AI as a co-creator and a design material: Transforming the design process. Design Studies, 97, 101303. doi:10.1016/j.destud.2025.101303.
- Zhou, J., Li, R., Tang, J., Tang, T., Li, H., Cui, W., & Wu, Y. (2024). Understanding nonlinear collaboration between human and AI agents: A co-design framework for creative design. arXiv. doi:10.48550/arXiv.2401.07312.
- Benjamin, J. J., Lindley, J., Edwards, E., Rubegni, E., Korjakow, T., Grist, D., & Sharkey, R. (2024). Responding to generative AI technologies with Research-through-Design: The Ryelands AI Lab as an exploratory study. In Proceedings of the 2024 ACM Designing Interactive Systems Conference (DIS ’24) (pp. 1823–1841). Association for Computing Machinery. doi:10.1145/3643834.3660677.
- Cheng, X., & Zhang, L. (2025). Inspiration booster or creative fixation? The dual mechanisms of LLMs in shaping individual creativity in tasks of different complexity. Humanities and Social Sciences Communications, 12, 1563. doi:10.1057/s41599-025-05867-9.
- Gupta, R., & Kyaw, A. H. (2025). Insights informed generative AI for design: Incorporating real-world data for text-to-image output. arXiv. doi:10.48550/arXiv.2506.15008.
- Hosanagar, K., & Ahn, D. (2024). Designing human and generative AI collaboration. arXiv. doi:10.48550/arXiv.2412.14199.
- Hu, X., Xing, Y., Cai, X., Zhao, Y., Cook, M., Borgo, R., & Neate, T. (2025). Designing interactions with generative AI for art and creativity: A systematic review and taxonomy. In Proceedings of the 2025 ACM Designing Interactive Systems Conference (pp. 1126–1155). Association for Computing Machinery. doi:10.1145/3715336.3735843.
- Jang, S., Roh, H., & Lee, G. (2025). Generative AI in architectural design: Application, data, and evaluation methods. Automation in Construction, 174, 106174. doi:10.1016/j.autcon.2025.106174.
- Jiang, B. (2026). AI for architecture: From style-driven generation to structure-guided design. Journal of Urban Management. Advance online publication. doi:10.1016/j.jum.2026.100535.
- Lee, S., & Kang, S. (2025). The influence of generative AI with prompt engineering on creative design in architectural education. Journal of Asian Architecture and Building Engineering. Advance online publication. doi:10.1080/13467581.2025.2552446.
- Li, C., Zhang, T., Du, X., Zhang, Y., & Xie, H. (2024). Generative AI models for different steps in architectural design: A literature review. arXiv. doi:10.48550/arXiv.2404.01335.
- Martins, J., & Durmaz-Drinkwater, B. (2026). The impact of AI on urban design practice: Exploring practitioners’ perspectives. Journal of Urban Design. Advance online publication. doi:10.1080/13574809.2026.2646150.
- McGuire, J., De Cremer, D., & Van de Cruys, T. (2024). Establishing the importance of co-creation and self-efficacy in creative collaboration with artificial intelligence. Scientific Reports, 14, 18525. doi:10.1038/s41598-024-69423-2.
- Paananen, V., Oppenlaender, J., & Visuri, A. (2024). Using text-to-image generation for architectural design ideation. International Journal of Architectural Computing, 22(3), 458–474. doi:10.1177/14780771231222783.
- Schneider, J., Kilic, S., & Stockhammer, D. (2024). Empowering clients: Transformation of design processes due to generative AI. arXiv. doi:10.48550/arXiv.2411.15061.
- Tan, L., & Luhrs, M. (2024). Using generative AI Midjourney to enhance divergent and convergent thinking in an architect’s creative design process. The Design Journal. doi:10.1080/14606925.2024.2353479.
- Vaccaro, M., Almaatouq, A., & Malone, T. W. (2024). When combinations of humans and AI are useful: A systematic review and meta-analysis. Nature Human Behaviour, 8(12), 2293–2303. doi:10.1038/s41562-024-02024-1.
- Yu, W. F. (2025). AI as a co-creator and a design material: Transforming the design process. Design Studies, 97, 101303. doi:10.1016/j.destud.2025.101303.
- Zhou, J., Li, R., Tang, J., Tang, T., Li, H., Cui, W., & Wu, Y. (2024). Understanding nonlinear collaboration between human and AI agents: A co-design framework for creative design. arXiv. doi:10.48550/arXiv.2401.07312.
Pubblicato
2026-06-30
Come citare
Di Nardo, P. (2026). Spazio immateriale: Dall’immaginario all’AI: Nuove forme di progetto tra design, architettura e sistemi generativi. AND Rivista Di Architetture, Città E Architetti, 49(1), 58-71. Recuperato da https://www.and-architettura.it/index.php/and/article/view/710
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Articoli
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TQuesto lavoro è fornito con la licenza Creative Commons Attribuzione 4.0 Internazionale.
