i

Revista de Arquitectura accepted for inclusion in SciELO Chile collection

 

Call for papers 2026 Revista de Arquitectura  N.º 50. + N.º 51

 

Call for papers Revista de Arquitectura N.°50

 

ARCHITECTURE AND INVESTIGATION + FREE THEME

50th Issue | 35th Anniversary

Deadline for paper submissions: March 2, 2026

https://dearquitectura.uchile.cl/index.php/RA/announcement/view/396

 

No. 51. CONTEMPORARY ARCHITECTURES AND URBAN PROJECTS:
New Themes and Dimensions of the City + FREE THEME.

Deadline for paper submissions:  June 22, 2026

https://dearquitectura.uchile.cl/index.php/RA/announcement/view/397

 

AI-assisted design, AIAD: a catalyst for the evolution of urban-architectural design in the Big data era

Authors

Download

Abstract

Artificial intelligence (AI) applied to urban-architectural processes has sparked debate over its impact: does it enhance design, construction, and management capabilities, or threaten authorship, ethics, and creative diversity? This article examines the potential of AI as a catalyst in the digital transformation of Industry 4.0 and its connection to big data as a core resource. A specialized literature review identified benefits, applications, challenges, and ethical risks within architecture and urban planning. The findings show that, when integrated with technologies such as Building Information Modeling (BIM), AI can optimize resources and enable pathways toward sustainability, personalization, and data-driven adaptability. The review also highlights risks that pose manageable challenges and strategic opportunities to strengthen profesional practice. Under a responsible framework, AI can expand human capabilities and support the evolution of contemporary design.

Keywords:

Artificial intelligence-Assisted Desing (AIAD) , Big data , Capability Amplifier , Desing ethics , Prompt

References

Alawadhi, M., & Yan, W. (2020). BIM hyperreality: Data synthesis using BIM and hyperrealistic rendering for deep learning. En ACADIA 2020: Distributed proximities (pp. 228-237). Autor. https://doi.org/10.52842/conf.acadia.2020.1.228

Albukhari, I. (2025). The role of artificial intelligence (AI) in architectural design: A systematic review of emerging technologies and applications. Journal of Umm Al-Qura University for Engineering and Architecture. https://doi.org/10.1007/s43995-025-00186-1

Atencio-González, R. (2023). Implicaciones éticas sobre el uso de la inteligencia artificial en educación. Revista Arbitrada Interdisciplinaria Koinonía, 8(Supl. 1), 2- 3. https://doi.org/10.35381/r.k.v8i1.2848

Barrios I. (2023). Inteligencia artificial y redacción científica: aspectos éticos en el uso de las nuevas tecnologías. Medicina Clínica y Social, 7(2), 46-47. https://doi.org/10.52379/mcs.v7i2.278

Cárdenas, K., Moreira, J., Amores, C. y Núñez, M. (2025). Desarrollo de competencias investigativas a través de la inteligencia artificial. Un enfoque innovador. Revista Cátedra, 8(1), 18-38. https://doi.org/10.29166/catedra.v8i1.6621

Chaillou, S. (2022). Artificial Intelligence and Architecture: From Research to Practice. Birkhäuser. https://doi.org/10.1515/9783035624045

Díaz, A., Parra, J., y Gutiérrez, M. (2024). The Architecture Competition in the Age of AI: Emulation or Collective Revolution? ARQ, 118. http://dx.doi.org/10.4067/S0717-69962024000300054

Du, J., Ye, X., Jankowski, P., Sanchez, T., & Mai, G. (2024). Artificial intelligence enabled participatory planning: a review. International Journal of Urban Sciences, 28(2), 183-210. https://doi.org/10.1080/12265934.2023.2262427

Eid-Masheh, Y. (2023). La inteligencia artificial en la generación de imágenes de arquitectura: aplicación directa de la inteligencia artificial en la arquitectura y posterior aplicación de las herramientas de modelado paramétrico para su ejecución material [Tesis de fin de grado. Universidad Politécnica de Valencia]. https://riunet.upv.es/handle/10251/199880

Fraile, M. (2025). Diseño biodigital e inteligencia artificial. Procesos y soluciones innovadoras en la arquitectura contemporánea. Revista de Arquitectura (Bogotá), 27(1), 195-213. https://doi.org/10.14718/revarq.2025.27.5259

González, L., y Medina, A. (2023). Advances and ethical challenges in the integration of AI in scientific production. Journal of Scientific Metrics and Evaluation, 1(1), 48-67. https://doi.org/10.69821/JoSME.v1iI.2

Hall, M., van der Maaten, L., Gustafson, L., Jones, M., & Adcock, A. (2022). A systematic study of bias amplification. arXiv Preprint, 2201.11706. https://doi.org/10.48550/arXiv.2201.11706

Huan, W., & Zheng, H. (2018). Architectural drawings recognition and generation through Machine Learning. En ACADIA 2018 Conference Proceedings (pp. 156-165). https://doi.org/10.52842/conf.acadia.2018.156

Kempff, J. (2023). La arquitectura y su contexto gráfico, procesos de digitalización [Tesis de grado, Universidad Politécnica de Madrid].

Mayer, V. & Cukier, K. (2013). Big Data: la revolución de los datos masivos. Turner Neoma.

Norman, E. (2023). La inteligencia artificial en la educación: una herramienta valiosa para los autores virtuales universitarios y profesores universitarios. Panorama, 17(32), 1-9. https://doi.org/10.15765/pnrm.v17i32.3681

Pampliega, C. (2019). Inteligencia artificial en el sector de la construcción. Building & Management, 3(2), 1-5. http://dx.doi.org/10.20868/bma.2019.2.3917

Ratti, C., & Claudel, M. (2016). The City of Tomorrow: Sensors, networks, hackers, and the future of urban life. Yale University Press. https://doi.org/10.1177/2399808318781239

Schwab, K. (2016). The Fourth Industrial Revolution. World Economic Forum.

Senovilla, A. (2020). Inteligencia artificial y aprendizaje automático en arquitectura [Tesis de grado, Universidad Politécnica de Madrid].

Sun, J., Morganti, A., Stavrakakis, E., Salim, F., & Rashid, O. (2022). Understanding architecture age and style through deep learning. Cities, 128, 103787. https://doi.org/10.1016/j.cities.2022.103787

Torres, K. y Blanco, I. (2023). Arquitectura de prompts académicos para el uso de Inteligencias Artificiales (AI) en Areandina: desafíos, experiencias y obstáculos. Investigaciones Andina, 25(46), 62-81. https://doi.org/10.33132/01248146.2258

Wang, Z., Liang, Q., Duarte, F., Zhang, F., Charron, L., Johnsen, L., Cai, B. & Ratti, C. (2021). Quantifying legibility of indoor Spaces using deep convolutional neural networks: Case studies in train stations. Building and Environment, 160, 106099. https://doi.org/10.1016/j.buildenv.2019.04.035

Ying, H., Sacks, R., & Degani, A. (2023). Synthetic image data generation using BIM and computer graphics for building scene understanding. Automation in Construction. 154,105016. https://doi.org/10.1016/j.autcon.2023.105016

Zhang, G., Lu, C., & Luo, Q. (2025). Application of Large Language Models in the AECO Industry: Core Technologies, Application Scenarios, and Research Challenges. Buildings, 15(11), 1944. https://doi.org/10.3390/buildings15111944