Dialoghi progettuali
Variazione, controllo e reintegrazione operativa nei workflow di intelligenza artificiale
Parole chiave:
Generative artificial intelligence, Architectural design process, Back talk, Design agency, Operational reintegration
Abstract
Nel progetto architettonico, la risposta dello strumento non è mai neutra, ma interferisce con la formulazione del problema, orienta le scelte e ridefinisce il corso dell’azione. Con l’intelligenza artificiale generativa, questa relazione assume una forma inedita. Muovendo dal concetto schöniano di back talk, il contributo analizza sei workflow documentati per interrogare la soglia in cui un output cessa di essere suggestione visuale e acquisisce consistenza operativa. L’obiettivo è chiarire come variazione, controllo e reintegrazione ridefiniscano il ruolo del progettista nei processi mediati dall’IA.
Riferimenti bibliografici
- Architecture & AI Laboratory. (2020, September 30). Peaches & Plums: The application of AttnGAN in architectural design. https://ar2il.com/2020/09/30/peaches-plums/
- Artificial Architecture. (2021). 3D-GAN-Housing. https://artificial-architecture.ai/?p=446
- Bolojan, D., & Vermisso, E. (2020). Deep learning as heuristic approach for architectural concept generation. In Proceedings of the 11th International Conference on Computational Creativity (pp. 98–105). Association for Computational Creativity. https://computationalcreativity.net/iccc20/papers/077-iccc20.pdf
- Carpo, M. (2017). The second digital turn: Design beyond intelligence. The MIT Press.
- Chaillou, S. (2022). Artificial intelligence and architecture: From research to practice. Birkhäuser.
- Cross, N. (2006). Designerly ways of knowing. Springer. https://doi.org/10.1007/1-84628-301-9
- del Campo, M. (2021). Architecture, language and AI: Language, attentional generative adversarial networks (AttnGAN) and architecture design. In A. Globa, J. van Ameijde, A. Fingrut, N. Kim, & T. T. S. Lo (Eds.), Projections: Proceedings of the 26th CAADRIA Conference (Vol. 1, pp. 211–220). The Association for Computer-Aided Architectural Design Research in Asia. https://doi.org/10.52842/conf.caadria.2021.1.211
- Goldschmidt, G. (1991). The dialectics of sketching. Creativity Research Journal, 4(2), 123–143. https://doi.org/10.1080/10400419109534381
- Koh, I. (2022). Architectural plasticity: The aesthetics of neural sampling. Architectural Design, 92(3), 86–93. https://doi.org/10.1002/ad.2818
- Lawson, B. (2006). How designers think: The design process demystified (4th ed.). Architectural Press. https://doi.org/10.4324/9780080454979
- Li, C., Zhang, T., Du, X., Zhang, Y., & Xie, H. (2025). Generative AI models for different steps in architectural design: A literature review. Frontiers of Architectural Research, 14(3), 759–783. https://doi.org/10.1016/j.foar.2024.10.001
- Li, P., Li, B., & Li, Z. (2023). Sketch-to-architecture: Generative AI-aided architectural design. In R. Chaine, Z. Deng, & M. H. Kim (Eds.), Pacific Graphics Short Papers and Posters (pp. 99–102). The Eurographics Association. https://doi.org/10.2312/pg.20231276
- Prix, W., Schmidbaur, K., Bolojan, D., & Baseta, E. (2022). The legacy sketch machine: From artificial to architectural intelligence. Architectural Design, 92(3), 14–21. https://doi.org/10.1002/ad.2808
- Schön, D. A. (1983). The reflective practitioner: How professionals think in action. Basic Books.
- SPAN. (2020). Peaches & Plums. https://span-arch.org/peaches-plums/.
- Suárez, V. E. (2023, June 30). Controlled creativity: Empowering architectural design with AI diffusion. IAAC Blog. https://blog.iaac.net/controlled-creativity/
- Artificial Architecture. (2021). 3D-GAN-Housing. https://artificial-architecture.ai/?p=446
- Bolojan, D., & Vermisso, E. (2020). Deep learning as heuristic approach for architectural concept generation. In Proceedings of the 11th International Conference on Computational Creativity (pp. 98–105). Association for Computational Creativity. https://computationalcreativity.net/iccc20/papers/077-iccc20.pdf
- Carpo, M. (2017). The second digital turn: Design beyond intelligence. The MIT Press.
- Chaillou, S. (2022). Artificial intelligence and architecture: From research to practice. Birkhäuser.
- Cross, N. (2006). Designerly ways of knowing. Springer. https://doi.org/10.1007/1-84628-301-9
- del Campo, M. (2021). Architecture, language and AI: Language, attentional generative adversarial networks (AttnGAN) and architecture design. In A. Globa, J. van Ameijde, A. Fingrut, N. Kim, & T. T. S. Lo (Eds.), Projections: Proceedings of the 26th CAADRIA Conference (Vol. 1, pp. 211–220). The Association for Computer-Aided Architectural Design Research in Asia. https://doi.org/10.52842/conf.caadria.2021.1.211
- Goldschmidt, G. (1991). The dialectics of sketching. Creativity Research Journal, 4(2), 123–143. https://doi.org/10.1080/10400419109534381
- Koh, I. (2022). Architectural plasticity: The aesthetics of neural sampling. Architectural Design, 92(3), 86–93. https://doi.org/10.1002/ad.2818
- Lawson, B. (2006). How designers think: The design process demystified (4th ed.). Architectural Press. https://doi.org/10.4324/9780080454979
- Li, C., Zhang, T., Du, X., Zhang, Y., & Xie, H. (2025). Generative AI models for different steps in architectural design: A literature review. Frontiers of Architectural Research, 14(3), 759–783. https://doi.org/10.1016/j.foar.2024.10.001
- Li, P., Li, B., & Li, Z. (2023). Sketch-to-architecture: Generative AI-aided architectural design. In R. Chaine, Z. Deng, & M. H. Kim (Eds.), Pacific Graphics Short Papers and Posters (pp. 99–102). The Eurographics Association. https://doi.org/10.2312/pg.20231276
- Prix, W., Schmidbaur, K., Bolojan, D., & Baseta, E. (2022). The legacy sketch machine: From artificial to architectural intelligence. Architectural Design, 92(3), 14–21. https://doi.org/10.1002/ad.2808
- Schön, D. A. (1983). The reflective practitioner: How professionals think in action. Basic Books.
- SPAN. (2020). Peaches & Plums. https://span-arch.org/peaches-plums/.
- Suárez, V. E. (2023, June 30). Controlled creativity: Empowering architectural design with AI diffusion. IAAC Blog. https://blog.iaac.net/controlled-creativity/
Pubblicato
2026-06-30
Come citare
Berardi, V., Colapinto, D., & Parisi, N. (2026). Dialoghi progettuali: Variazione, controllo e reintegrazione operativa nei workflow di intelligenza artificiale. AND Rivista Di Architetture, Città E Architetti, 49(1), 24-29. Recuperato da https://www.and-architettura.it/index.php/and/article/view/706
Sezione
Articoli
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TQuesto lavoro è fornito con la licenza Creative Commons Attribuzione 4.0 Internazionale.
