ARTIFICIAL INTELLIGENCE TOOLS IN ARCHITECTURE

Authors

  • N. Vergunova O.M. Beketov National University of Urban Economy in Kharkiv

DOI:

https://doi.org/10.33042/2522-1809-2024-4-185-69-74

Keywords:

artificial intelligence, software, plugin, architecture

Abstract

Lately, architects have begun to favour a more result-oriented way of working based on artificial intelligence (AI) and its use for automation and software applications operation that support work with design data.

The research aims to identify and systematise data on computer tools using artificial intelligence algorithms and the prospects for its development in architectural activities.

The use of AI algorithms in architectural design is characteristic of all its stages, from the conceptual phase and basic design levels to detailing, development of design documentation, and future implementation, which is why various computer tools are available.

The scientific paper describes three groups of AI software products. The first group includes software for architectural activities with AI-based functionality. The second group involves additional plug-ins with AI algorithms, i.e., independently compiled software modules installed and connected to the main programme, expanding its capabilities. The third group comprises online AI platforms, many of which are already available on the Internet and continue to grow in number. These services are usually not associated with professional software but can be used to perform specific architectural design tasks.

The reviewed software products suggest that artificial intelligence technologies can transform traditional approaches to architecture and construction, offering architects powerful tools to increase efficiency and creativity. However, it is necessary to note significant doubts in the professional architectural community about whether to implement artificial intelligence fully. It is due to uncertainty about the impact of AI on traditional roles in the architectural industry, displacement from jobs, and the reliability and ethical implications of decision-making based on these particular algorithms. We should also note that the first group of software is the most promising for the future development of the architectural profession, as it provides full-fledged programmes with a comprehensive approach to architectural activities.

Author Biography

N. Vergunova, O.M. Beketov National University of Urban Economy in Kharkiv

Candidate of Arts, Associate Professor, Head of the Department of Design and 3D Modelling

References

LeCun, Y., Bengio, Y., & Hinton, G. (2015). Deep learning. Nature, 521(7553), 436-444.

Hashem, I. A. T., Chang, V., Anuar, N. B., Adewole, K., Yaqoob, I., Gani, A., Ahmed, E., & Chiroma, H. (2016). The role of big data in smart city. International Journal of Information Management, 36(5), 748-758.

Sastry, G., Heim, L., Belfield, H., Anderljung, M., Brund-age, M., Hazell, J., O’Keefe, C., Hadfield, G. K., Ngo, R., Pilz, K., Gor, G., Bluemke, E., Shoker, S., Egan, J., Trager, R. F., Avin, S., Weller, A., Bengio, Y., & Coyle, D. (2024). Computing Power and the Governance of Artificial Intelligence. Official website «Cornell University». Retrieved from https://arxiv.org/pdf/2402.08797

RIBA Artificial Intelligence Report. Official website «Royal Institute of British Architects». Retrieved from https://www.architecture.com/knowledge-and-resources/resources-landing-page/riba-ai-report-2024

Zeytin, E., Kösenciğ, K.Ö., & Öner, D. (2024). The Role of AI Design Assistance on the Architectural Design Process: An Empirical Research with Novice Designers. Journal of Computational Design, 1, 1-30.

Castro Pena, M. L., Carballal, A., Rodríguez-Fernández, N., Santos, I., & Romero, J. (2021). Artificial intelligence applied to conceptual design. A review of its use in architecture. Automation in Construction, 124, 103550.

Rodrigues, R., Alzate-Martinez, F. A., Escobar, D., & Mistry, M. (2021). Rendering Conceptual Design Ideas with Artificial Intelligence: A Combinatory Framework of Text, Images and Sketches. Proceedings of the 41st Annual Conference of the Association of Computer Aided Design in Architecture, 1, 572-575.

As, I., Pal, S., & Basu, P. (2018). Artificial intelligence in architecture: generating conceptual design via deep learning. International Journal of Architectural Computing, 16(4), 306-327.

Vergunova, N. S., & Blinova, M. Yu. (2024). Trends in the use of artificial intelligence and immersive design in the formation of architectural environment. Municipal economy of cities, 3(184), 59-64.

Zeshan, A. H. (2024). Transcending Object: A Critical Evaluation of Integration of AI with Architecture. Official website «University of Arizona». Retrieved from https://repository.arizona.edu/handle/10150/672583

Autodesk platform. Official website «Autodesk». Retrieved from https://www.autodesk.com/company/autodesk-platform

Archicad AI Visualizer. Official website «Graphisoft». Retrieved from https://graphisoft.com/solutions/innovation/archicad-ai-visualizer

SketchUp Diffusion. Official website «SketchUp». Retrieved from https://help.sketchup.com/en/sketchup-diffusion

Veras. Official website «Evolve Lab». Retrieved from https://www.evolvelab.io/veras

Best Revit plugins for Artificial Intelligence. Official web-site «RVT Plugins». Retrieved from https://rvtplugins.com/category/artificial-intelligence

Yao, C. (2024). "Only by embracing AI can you be involved in controlling it" says LookX founder Wanyu He. Official website «Dezeen». Retrieved from https://www.dezeen.com/2023/07/14/lookx-wanyu-he-ai-interview-aitopia/

Published

2024-09-06

How to Cite

Vergunova, N. (2024). ARTIFICIAL INTELLIGENCE TOOLS IN ARCHITECTURE. Municipal Economy of Cities, 4(185), 69–74. https://doi.org/10.33042/2522-1809-2024-4-185-69-74