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Human Creativity Versus Algorythms: Is Artificial Intelligence A Threat to Architects or An Opportunity for Innovation?

Yıl 2025, Cilt: 2 Sayı: 1, 11 - 23, 14.07.2025

Navid Khaleghimoghaddam

Öz

Technological advancements have consistently resulted in significant transformations across various professions. Artificial intelligence, as one of the most sophisticated contemporary technologies, has notably influenced the field of architecture. This study examines the challenges and opportunities presented by the impact of artificial intelligence on the architectural design process, raising the question of whether this technology poses a threat to architects or serves as an avenue for enhancement and evolution within the discipline. The methodology employed is descriptive-analytical, grounded in documentary analysis and a review of scholarly literature published. The findings indicate that while artificial intelligence possesses the capability to analyze vast datasets, optimize design, and generate innovative suggestions, it falls short in terms of creativity, intuition, and a profound understanding of cultural and human concepts. Additionally, the technical and economic challenges associated with the development of artificial intelligence systems to supplant architects render this scenario unlikely in the near future. Consequently, this study advocates for embracing this technology not as a threat but as a valuable tool to enhance the design process. Architects can leverage the potential of artificial intelligence to expand the horizons of creativity by adopting new roles, such as coordinators and strategists in the application of digital technologies.

Anahtar Kelimeler

Artificial Intelligence Architecture Human Creativity Digital Design Algorithms

Kaynakça

  • Abioye, S. O., Oyedele, L. O., Akanbi, L., Ajayi, A., Delgado, J. M. D., Bilal, M., Akinade, O. O., & Ahmed, A. (2021). Artificial intelligence in the construction industry: A review of present status, opportunities and future challenges, Journal of Building Engineering, 44, 1-13. https://doi.org/10.1016/j.jobe.2021.103299
  • Aldoseri, A., Al-Khalifa, K. N., & Hamouda, A. M. (2023). Re-thinking data strategy and integration for artificial intelligence: Concepts, opportunities, and challenges. Applied Sciences, 13(12), 1-33. https://doi.org/10.3390/app13127082
  • Almaz, A. F., El-Agouz, E. A. E., Abdelfatah, M. T., & Mohamed, I. R. (2024). The future role of artificial intelligence (AI) design's integration into architectural and interior design education is to improve efficiency, sustainability, and creativity. Civil Engineering and Architecture, 12(3), 1749 - 1772. https://doi.org/10.13189/cea.2024.120336.
  • As I, Pal S, Basu P. Artificial intelligence in architecture: Generating conceptual design via deep learning. International Journal of Architectural Computing, 16(4), 306-327. https://doi.org/10.1177/1478077118800982
  • Ayman, A., Mansour, Y., & Eldaly, H. (2024). Applying machine learning algorithms to architectural parameters for form generation. Automation in Construction, 166, 1-16. https://doi.org/10.1016/j.autcon.2024.105624
  • Bargstädt, H. J. (2015). Challenges of BIM for construction site operations, Procedia Engineering, 117, 52-59. https://doi.org/10.1016/j.proeng.2015.08.123
  • 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(9), 1-16. https://doi.org/10.3390/buildings13092285
  • Fan, X., & Li, J. (2023). Artificial intelligence-driven interactive learning methods for enhancing art and design education in higher institutions. Applied Artificial Intelligence, 37(1), 59-73. https://doi.org/10.1080/08839514.2023.2225907
  • Gammal, Y. O. E. (2024). The cognitive architectural design process and its problem with recent artificial intelligence applications. Engineering and Applied Sciences, 9(5), 83-105. https://doi.org/10.11648/j.eas.20240905.11
  • Gannon, M. (2017). The shape of touch: On-body interfaces for digital design and fabrication. Architectural Design, 87(6), 114–119. https://doi.org/10.1002/ad.2246
  • Gradišar, L., Klinc, R., Turk, Ž., & Dolenc, M. (2022). Generative design methodology and framework exploiting designer-algorithm synergies. Buildings, 12(12), 1-15. https://doi.org/10.3390/buildings12122194
  • Han, Z., Yuan, Y., Stouffs, R., & Li, X. (2024). GRAPH2PIX: a generative model for converting room adjacency relationships into layout images. Proceedings of the 29th International Conference of the Association for ComputerAided Architectural Design Research in Asia (CAADRIA), vol. 1 (2024), pp. 139-148
  • Hoffmann, C. H. (2022). Is AI intelligent? An assessment of artificial intelligence, 70 years after Turing. Technology in Society,68, 1-12. https://doi.org/10.1016/j.techsoc.2022.101893
  • Hunde, B. R., & Woldeyohannes, A. D. (2022). Future prospects of computer-aided design (CAD) – A review from the perspective of artificial intelligence (AI), extended reality, and 3D printing, Results in Engineering, 14, 1-9. https://doi.org/10.1016/j.rineng.2022.100478
  • Jin, S., Tu, H., Li, J., Fang, Y., Qu, Z., Xu, F., Liu, K., & Lin, Y. (2024). Enhancing Architectural Education through Artificial Intelligence: A Case Study of an AI-Assisted Architectural Programming and Design Course. Buildings, 14(6), 1-26. https://doi.org/10.3390/buildings14061613
  • Khogali, H. O., & Mekid, S. (2023). The blended future of automation and AI: Examining some long-term societal and ethical impact features, Technology in Society, 73, 1-12. https://doi.org/10.1016/j.techsoc.2023.102232
  • Komatina, D., Miletić, M., & Mosurović Ružičić, M. (2024). Embracing artificial intelligence (AI) in architectural education: A step towards sustainable practice? Buildings, 14(8), 1-14. https://doi.org/10.3390/buildings14082578
  • Krauss, L. (2016). What do you consider the most interesting recent [scientific] news? What makes it important? Edge. Retrieved from https://www.edge.org
  • Li, C., Zhang, T., Du, X., Zhang, Y., Xie, H. (2024). Generative AI models for different steps in architectural design: A literature review. Frontiers of Architectural Research. https://doi.org/10.1016/j.foar.2024.10.001.
  • Li, X., Demirel, H. O., Goldstein, M. H., & Sha, Z. (2021), Exploring generative design thinking for engineering design and design education. ASEE Midwest Section Conference, Virtual. https://doi.org/10.18260/1-2-1125.1153-38349
  • Ma, L., Liu, Y., Zhang, X., Ye, Y., Yin, G., & Johnson, B. A. (2019). Deep learning in remote sensing applications: A meta-analysis and review. ISPRS Journal of Photogrammetry and Remote Sensing, 152, 166-177. https://doi.org/10.1016/j.isprsjprs.2019.04.015
  • M.Matter, N., & G.Gado, N. (2024). Artificial intelligence in architecture: Integration into architectural design process. Engineering Research Journal, 181(0), 1-16. doi: 10.21608/erj.2024.344313
  • Pan, T., & Zhang, L. (2021). Roles of artificial intelligence in construction engineering and management: A critical review and future trends. Automation in Construction, 122. 1-21. https://doi.org/10.1016/j.autcon.2020.103517
  • Pelliccia, L.; Bojko, M.; Prielipp, R.: Applicability of 3D-factory simulation software for computer-aided participatory design for industrial workplaces and processes, Procedia CIRP, 99(1), 2021, 122-126. https://doi.org/10.1016/j.procir.2021.03.019
  • Picon, A. (2010). Digital Culture in Architecture: An Introduction for the Design Professions. Basel: Birkhäuser.
  • Regona, M., Yigitcanlar, T., Hon, C., & Teo, M. (2024). Artificial intelligence and sustainable development goals: Systematic literature review of the construction industry, Sustainable Cities and Society, 108, 1-23. https://doi.org/10.1016/j.scs.2024.105499
  • Salingaros, N. A. (2024). How architecture builds intelligence: Lessons from AI. Multimodal Technologies and Integration, 9(1), 1-26. https://doi.org/10.3390/mti9010002
  • Trabucco, D. (2021). Will artificial intelligence kill architects? An insight on the architect job in the AI future. TECHNE (Special Series), 2, 128-132. https://doi.org/10.13128/techne-10696
  • Wang, D., Lu, C., & Fu, Y. (2023). Towards automated urban planning: When generative and ChatGPT-like AI meets urban planning. ArXiv, abs/2304.03892
  • Weber, R. E., Mueller, C., & Reinhart, C. (2022). Automated floorplan generation in architectural design: A review of methods and applications. Automation in Construction, 140, 1-19. https://doi.org/10.1016/j.autcon.2022.104385
  • Yazdani, M., & Akbarian, M. (2023). Examining the concern of architects towards replacing designers with artificial intelligence in the third millennium. Rahpooye Memari-o Shahrsazi, 2(5), 53-65.
  • Young, D., Panthi, K., & Noor, O. (2021). Challenges involved in adopting BIM on the construction jobsite. EPiC Series in Built Environment, 2(3), 302-310.
  • Zhuang, X., Ju, Y., Yang, A., & Caldas, L. (2023). Synthesis and generation for 3D architecture volume with generative modeling. International Journal of Architectural Computing, 21(2), 297-314. https://doi.org/10.1177/14780771231168233
  • Zhu, W. (2021) Artificial intelligence and urban governance: Risk conflict and strategy choice. Open Journal of Social Sciences, 9, 250-261. https://doi.org/10.4236/jss.2021.94019

Human Creativity Versus Algorithms: Is Artificial Intelligence A Threat to Architects or An Opportunity for Innovation?

Yıl 2025, Cilt: 2 Sayı: 1, 11 - 23, 14.07.2025

Navid Khaleghimoghaddam

Öz

Technological advancements have consistently resulted in significant transformations across various professions. Artificial intelligence, as one of the most sophisticated contemporary technologies, has notably influenced the field of architecture. This study examines the challenges and opportunities presented by the impact of artificial intelligence on the architectural design process, raising the question of whether this technology poses a threat to architects or serves as an avenue for enhancement and evolution within the discipline. The methodology employed is descriptive-analytical, grounded in documentary analysis and a review of scholarly literature published. The findings indicate that while artificial intelligence possesses the capability to analyze vast datasets, optimize design, and generate innovative suggestions, it falls short in terms of creativity, intuition, and a profound understanding of cultural and human concepts. Additionally, the technical and economic challenges associated with the development of artificial intelligence systems to supplant architects render this scenario unlikely in the near future. Consequently, this study advocates for embracing this technology not as a threat but as a valuable tool to enhance the design process. Architects can leverage the potential of artificial intelligence to expand the horizons of creativity by adopting new roles, such as coordinators and strategists in the application of digital technologies.

Anahtar Kelimeler

Artificial Intelligence Architecture Human Creativity Digital Design Algorithms

Kaynakça

  • Abioye, S. O., Oyedele, L. O., Akanbi, L., Ajayi, A., Delgado, J. M. D., Bilal, M., Akinade, O. O., & Ahmed, A. (2021). Artificial intelligence in the construction industry: A review of present status, opportunities and future challenges, Journal of Building Engineering, 44, 1-13. https://doi.org/10.1016/j.jobe.2021.103299
  • Aldoseri, A., Al-Khalifa, K. N., & Hamouda, A. M. (2023). Re-thinking data strategy and integration for artificial intelligence: Concepts, opportunities, and challenges. Applied Sciences, 13(12), 1-33. https://doi.org/10.3390/app13127082
  • Almaz, A. F., El-Agouz, E. A. E., Abdelfatah, M. T., & Mohamed, I. R. (2024). The future role of artificial intelligence (AI) design's integration into architectural and interior design education is to improve efficiency, sustainability, and creativity. Civil Engineering and Architecture, 12(3), 1749 - 1772. https://doi.org/10.13189/cea.2024.120336.
  • As I, Pal S, Basu P. Artificial intelligence in architecture: Generating conceptual design via deep learning. International Journal of Architectural Computing, 16(4), 306-327. https://doi.org/10.1177/1478077118800982
  • Ayman, A., Mansour, Y., & Eldaly, H. (2024). Applying machine learning algorithms to architectural parameters for form generation. Automation in Construction, 166, 1-16. https://doi.org/10.1016/j.autcon.2024.105624
  • Bargstädt, H. J. (2015). Challenges of BIM for construction site operations, Procedia Engineering, 117, 52-59. https://doi.org/10.1016/j.proeng.2015.08.123
  • 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(9), 1-16. https://doi.org/10.3390/buildings13092285
  • Fan, X., & Li, J. (2023). Artificial intelligence-driven interactive learning methods for enhancing art and design education in higher institutions. Applied Artificial Intelligence, 37(1), 59-73. https://doi.org/10.1080/08839514.2023.2225907
  • Gammal, Y. O. E. (2024). The cognitive architectural design process and its problem with recent artificial intelligence applications. Engineering and Applied Sciences, 9(5), 83-105. https://doi.org/10.11648/j.eas.20240905.11
  • Gannon, M. (2017). The shape of touch: On-body interfaces for digital design and fabrication. Architectural Design, 87(6), 114–119. https://doi.org/10.1002/ad.2246
  • Gradišar, L., Klinc, R., Turk, Ž., & Dolenc, M. (2022). Generative design methodology and framework exploiting designer-algorithm synergies. Buildings, 12(12), 1-15. https://doi.org/10.3390/buildings12122194
  • Han, Z., Yuan, Y., Stouffs, R., & Li, X. (2024). GRAPH2PIX: a generative model for converting room adjacency relationships into layout images. Proceedings of the 29th International Conference of the Association for ComputerAided Architectural Design Research in Asia (CAADRIA), vol. 1 (2024), pp. 139-148
  • Hoffmann, C. H. (2022). Is AI intelligent? An assessment of artificial intelligence, 70 years after Turing. Technology in Society,68, 1-12. https://doi.org/10.1016/j.techsoc.2022.101893
  • Hunde, B. R., & Woldeyohannes, A. D. (2022). Future prospects of computer-aided design (CAD) – A review from the perspective of artificial intelligence (AI), extended reality, and 3D printing, Results in Engineering, 14, 1-9. https://doi.org/10.1016/j.rineng.2022.100478
  • Jin, S., Tu, H., Li, J., Fang, Y., Qu, Z., Xu, F., Liu, K., & Lin, Y. (2024). Enhancing Architectural Education through Artificial Intelligence: A Case Study of an AI-Assisted Architectural Programming and Design Course. Buildings, 14(6), 1-26. https://doi.org/10.3390/buildings14061613
  • Khogali, H. O., & Mekid, S. (2023). The blended future of automation and AI: Examining some long-term societal and ethical impact features, Technology in Society, 73, 1-12. https://doi.org/10.1016/j.techsoc.2023.102232
  • Komatina, D., Miletić, M., & Mosurović Ružičić, M. (2024). Embracing artificial intelligence (AI) in architectural education: A step towards sustainable practice? Buildings, 14(8), 1-14. https://doi.org/10.3390/buildings14082578
  • Krauss, L. (2016). What do you consider the most interesting recent [scientific] news? What makes it important? Edge. Retrieved from https://www.edge.org
  • Li, C., Zhang, T., Du, X., Zhang, Y., Xie, H. (2024). Generative AI models for different steps in architectural design: A literature review. Frontiers of Architectural Research. https://doi.org/10.1016/j.foar.2024.10.001.
  • Li, X., Demirel, H. O., Goldstein, M. H., & Sha, Z. (2021), Exploring generative design thinking for engineering design and design education. ASEE Midwest Section Conference, Virtual. https://doi.org/10.18260/1-2-1125.1153-38349
  • Ma, L., Liu, Y., Zhang, X., Ye, Y., Yin, G., & Johnson, B. A. (2019). Deep learning in remote sensing applications: A meta-analysis and review. ISPRS Journal of Photogrammetry and Remote Sensing, 152, 166-177. https://doi.org/10.1016/j.isprsjprs.2019.04.015
  • M.Matter, N., & G.Gado, N. (2024). Artificial intelligence in architecture: Integration into architectural design process. Engineering Research Journal, 181(0), 1-16. doi: 10.21608/erj.2024.344313
  • Pan, T., & Zhang, L. (2021). Roles of artificial intelligence in construction engineering and management: A critical review and future trends. Automation in Construction, 122. 1-21. https://doi.org/10.1016/j.autcon.2020.103517
  • Pelliccia, L.; Bojko, M.; Prielipp, R.: Applicability of 3D-factory simulation software for computer-aided participatory design for industrial workplaces and processes, Procedia CIRP, 99(1), 2021, 122-126. https://doi.org/10.1016/j.procir.2021.03.019
  • Picon, A. (2010). Digital Culture in Architecture: An Introduction for the Design Professions. Basel: Birkhäuser.
  • Regona, M., Yigitcanlar, T., Hon, C., & Teo, M. (2024). Artificial intelligence and sustainable development goals: Systematic literature review of the construction industry, Sustainable Cities and Society, 108, 1-23. https://doi.org/10.1016/j.scs.2024.105499
  • Salingaros, N. A. (2024). How architecture builds intelligence: Lessons from AI. Multimodal Technologies and Integration, 9(1), 1-26. https://doi.org/10.3390/mti9010002
  • Trabucco, D. (2021). Will artificial intelligence kill architects? An insight on the architect job in the AI future. TECHNE (Special Series), 2, 128-132. https://doi.org/10.13128/techne-10696
  • Wang, D., Lu, C., & Fu, Y. (2023). Towards automated urban planning: When generative and ChatGPT-like AI meets urban planning. ArXiv, abs/2304.03892
  • Weber, R. E., Mueller, C., & Reinhart, C. (2022). Automated floorplan generation in architectural design: A review of methods and applications. Automation in Construction, 140, 1-19. https://doi.org/10.1016/j.autcon.2022.104385
  • Yazdani, M., & Akbarian, M. (2023). Examining the concern of architects towards replacing designers with artificial intelligence in the third millennium. Rahpooye Memari-o Shahrsazi, 2(5), 53-65.
  • Young, D., Panthi, K., & Noor, O. (2021). Challenges involved in adopting BIM on the construction jobsite. EPiC Series in Built Environment, 2(3), 302-310.
  • Zhuang, X., Ju, Y., Yang, A., & Caldas, L. (2023). Synthesis and generation for 3D architecture volume with generative modeling. International Journal of Architectural Computing, 21(2), 297-314. https://doi.org/10.1177/14780771231168233
  • Zhu, W. (2021) Artificial intelligence and urban governance: Risk conflict and strategy choice. Open Journal of Social Sciences, 9, 250-261. https://doi.org/10.4236/jss.2021.94019
Toplam 34 adet kaynakça vardır.

Ayrıntılar

Birincil Dil İngilizce
Konular Mimari Mühendislik
Bölüm Araştırma Makalesi
Yazarlar

Navid Khaleghimoghaddam 0000-0003-2505-207X

Yayımlanma Tarihi 14 Temmuz 2025
Gönderilme Tarihi 1 Mart 2025
Kabul Tarihi 14 Nisan 2025
Yayımlandığı Sayı Yıl 2025 Cilt: 2 Sayı: 1

Kaynak Göster

APA Khaleghimoghaddam, N. (2025). Human Creativity Versus Algorithms: Is Artificial Intelligence A Threat to Architects or An Opportunity for Innovation? Uygulamalı Mühendislik ve Tarım Dergisi, 2(1), 11-23.