INTEGRATION OF ARTIFICIAL INTELLIGENCE IN PROFESSIONAL ARCHITECTURAL PRACTICE
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Abstract
The research and application of Information and Communication Technologies (ICT) in various processes within the Architecture, Engineering, and Construction (AEC) industry have been present for decades. This practice continues with contemporary advancements in the field of Artificial Intelligence (AI), especially through software designed for widespread adoption and consumption by architects and other professionals in the AEC industry. The process of creating “digital twins” of buildings – computable models that simulate design, construction, building performance, and maintenance – requires very strict parametrization of different elements and procedures that constitute the composition of an architectural project as a whole. The concrete parametrization of building elements, in return, requires strict theoretical classifications, categorizations, structuring, and the composition of design methodology as a programmable, computable algorithm. Questions arise, such as: What is the logic behind automated decision-making? How much can we trust an automated computational model? What kind of tendencies or ideologies are embedded in the process of identifying parameters, their connections, and their relation to an architectural project? What is the underlying design methodology or design philosophy upon which an algorithm is created? The purpose of this paper is to question the integration of AI and ICT in the actual process of architectural design and to explore realistic possibilities for implementing emerging technologies in the architect’s workflow that extend beyond research and experimentation into the domain of architectural practice.
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References
- Calvo, M. C. (1993). Some Epistemological Concerns Regarding Artificial Intelligence and Knowledge-Based Approaches to Architectural Design - A Renewed Agenda - Knowledge Representation and Design. ACADIA – Education and Practice: The CRITICAL INTERFACE.
- Chen, J., Wang, D., Shao, Z., Zhang, X., Ruan, M., Li, H., & Li, J. (2023). Using Artificial Intelligence to Generate Master-Quality Architectural Designs from Text Descriptions. Buildings, 13, 2285. https://doi.org/10.3390/buildings13092285
- Cudzik, J., & Radziszewski, K. (2018). Artificial Intelligence Aided Architectural Design. AI For Design and Built Environment, Volume 1 – eCAADe.
- Harapan, A., Indriani, D., Rizkaya, N. F., & Azbi, R. M. (2021). Artificial Intelligence in Architectural Design. International Journal of Design, I, 1–6. Universitas Komputer Indonesia.
- Hussain, A., Latif, G., Alghazo, J., & Kim, E. (2024). Flood Detection Using Deep Learning Methods from Visual Images. AIP Conference Proceedings, 3034, 030004. https://doi.org/10.1063/5.0194669
- Jaruga-Rozdolska, A. (2022). Artificial Intelligence as Part of Future Practices in the Architect’s Work: MidJourney Generative Tool as Part of a Process of Creating an Architectural Form. Architectus, 3 (71). https://doi.org/10.37190/arc220310
- Kong, S., Zhang, M., & Wang, W. (2022). Research on Single-person Apartment Fire Accident based on Numerical Simulation. Third International Conference on Artificial Intelligence and Computer Engineering (ICAICE 2022), edited by Xiaoli Li. Proc. of SPIE Vol. 12610, 126103K. https://doi.org/10.1117/12.2671100
- Nitin Rane, L., Choudhary, S. P., & Rane, J. (2023). Integrating ChatGPT, Bard, and Leading Edge Generative Artificial Intelligence in Architectural Design and Engineering: Applications, Framework and Challenges. International Journal of Architecture and Planning, Svedberg Open.
- Nourian, P., Azadi, S., Uijtendaal, R., & Bai, N. (2023). Augmented Computational Design: Methodical Application of Artificial Intelligence in Generative Design. In Artificial Intelligence in Performance-Driven Design: Theories, Methods, and Tools Towards Sustainability, edited by Narjes Abbasabadi and Mehdi Ashayeri. Wiley.
- Pena, M. L. C., Carballal, A., Rodríguez-Fernandez, N., Santos, I., & Romero, J. (2021). Artificial Intelligence Applied to Conceptual Design. A Review of Its Use in Architecture. Automation in Construction, 124, Elsevier.
- Rafasnjani, H. N., & Nabizadeh, A. H. (2023). Towards Human-Centered Artificial Intelligence (AI) in Architecture, Engineering and Construction (AEC) Industry. Computers in Human Behaviour Reports, 11, Elsevier.
- Restrepo, J. (2004). Information Processing in Design. Delft University Press.
- Stojanovski, T., Zhang, H., Peters, E. C., & Frid, E. (2021). Architecture, Urban Design and Artificial Intelligence (AI) – Intersection of Practices and Approaches. Conference Paper, SimAUD 2021, Symposium on Simulation for Architecture + Urban Design, Society for Modeling & Simulation International (SCS).
- Weber-Lewerenz, B., & Traverso, M. (2023). Best Practices in Construction 4.0 – Catalysts of Digital Innovations (Part II). Journal of Architectural Environment & Structural Engineering Research, 6 (2), April 2023. Bilingual Publishing Group.
- Yi, H. (2020). Visualized Co-Simulation of Adaptive Human Behavior and Dynamic Building Performance: An Agent-Based Model (ABM) and Artificial Intelligence (AI) Approach for Smart Architectural Design. Sustainability, 12, 6672. https://doi.org/10.3390/su12166672
- Yoshimura, Y., Cai, B., Wang, Z., & Ratti, C. Deep Learning Architect: Classification for Architectural Design through the Eye of Artificial Intelligence. SENSEable City Laboratory, Massachusetts Institute of Technology, Cambridge, USA.
- Zhang, Z., Fort, M. J., & Gimenez Mateu, L. (2023). Exploring the Potential of Artificial Intelligence as a Tool for Architectural Design: A Perception Study Using Gaudi’s Works. Buildings, 13, 1863. https://doi.org/10.3390/buildings13071863