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Design is Dead! Long Live the Algorithm: the Manifesto of the New Vernaculars

Year 2026, Volume: 14 Issue: 1 , 123 - 136 , 31.03.2026
https://izlik.org/JA89TM38SM

Abstract

This article examines how artificial intelligence, machine learning, and data-driven systems are reconfiguring architectural practice, authorship, and design decision-making. While framed by a deliberately provocative title, the study adopts a conceptual and critical-theoretical approach to analyze ongoing shifts in design agency and their ethical, cultural, and institutional implications. The paper argues that architectural design is undergoing a structural redistribution of decision-making authority within socio-technical routines, in which algorithmic systems increasingly participate in generating, evaluating, and selecting design alternatives, thereby repositioning the architect from a singular form-giver toward roles such as curator, trainer, and accountable reviewer of computational outputs. The argument is developed along three analytical axes. First, the concept of “the death of design” is examined as an agency shift rather than a literal end of architectural creativity, describing the erosion of singular authorship under AI-mediated workflows while explicitly distinguishing this shift from the normative commitments of human-centered design. Second, the concept of “algorithmic vernacular” explores the conditional possibility that data-driven systems may produce context-sensitive and collectively authored architectural forms, while emphasizing risks of homogenization, bias, and cultural erasure in the absence of plural datasets, transparent criteria, and participatory feedback loops. Third, “Architecture Without Architects v2” revisits Rudofsky’s thesis in contemporary conditions, where software, code, and automated production distribute authorship across human and nonhuman actors, necessitating new accountability regimes, governance mechanisms, and professional roles. Rather than advancing deterministic or predictive claims, the article presents a structured conceptual framework that distinguishes between analytical findings and normative propositions. It contends that contemporary architecture is shifting from individual authorship to collective intelligence, from aesthetic judgement to system-mediated production, and from stable authority to governed forms of distributed responsibility. In this context, the phrase “design is dead” serves as an analytical provocation, signaling a transition toward human-machine partnerships in which creative responsibility is shared, and the future of architecture depends on the governability, ethical orientation, and cultural plurality of algorithmically mediated design processes.

References

  • [1] Onatayo, D., Onososen, A., Oyediran, A. O., Oyediran, H., Arowoiya, V., & Onatayo, E. (2024). Generative AI Applications in Architecture, Engineering, and Construction: Trends, Implications for Practice, Education & Imperatives for Upskilling-A Review. Architecture, 4(4), 877-902. https://doi.org/10.3390/architecture4040046
  • [2] Yiannoudes, S. (2025). Shaping Architecture with Generative Artificial Intelligence: Deep Learning Models in Architectural Design Workflow. Architecture, 5(4), 94. https://doi.org/10.3390/architecture5040094
  • [3] Albukhari, I. N. (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, 16(4), 1457-1476. https://doi.org/10.1007/s43995-025-00186-1
  • [4] Huang, S.-Y. (2025). The Connectionist Turn: How Contemporary Generative AI Reshapes Architectural Rationality. Architecture, 5(4), 132. https://doi.org/10.3390/architecture5040132 [5] Leach, N. (2022). Architecture in the Age of Artificial Intelligence: An Introduction to AI for Architects. Bloomsbury Visual Arts.
  • [6] Burry, M. (2020). Urban Futures: Designing the Digitalised City. John Wiley & Sons.
  • [7] Picon, A. (2022). Architecture and Technology: From the Prehistory to the Digital Age. Birkhäuser.
  • [8] Schumacher, P. (2016). Parametricism 2.0: Rethinking Architecture’s Agenda for the 21st Century. Architectural Design, 86(2), 8-17.
  • [9] Liang, C.-J., Le, T.-H., Ham, Y., Mantha, B. R. K., Cheng, M. H., & Lin, J. J. (2024). Ethics of artificial intelligence and robotics in the architecture, engineering, and construction industry. Automation in Construction, 162, 105369. https://doi.org/10.1016/j.autcon.2024.105369
  • [10] Cheong, L. J. M. (2024). The era of intelligent architecture: Rethinking architectural design in the age of artificial intelligence. Frontiers in Human Dynamics, 6, 1421273. https://doi.org/10.3389/fhumd.2024.1421273
  • [11] Crawford, K. (2021). Atlas of AI: Power, Politics, and the Planetary Costs of Artificial Intelligence. Yale University Press.
  • [12] 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
  • [13] Steenson, M. W. (2022). Architectural Intelligence: How Designers and Architects Created the Digital Landscape. MIT Press.
  • [14] Costanza-Chock, S. (2020). Design Justice: Community-Led Practices to Build the Worlds We Need. MIT Press.
  • [15] Papagiannidis, S., Mikalef, P., Conboy, K., & Tosunoglu, S. (2025). Artificial intelligence governance in organizational decision making: Balancing autonomy, accountability, and transparency. The Journal of Strategic Information Systems, 34(2), 101885. https://doi.org/10.1016/j.jsis.2024.101885
  • [16] Carpo, M. (2017). The Second Digital Turn: Design Beyond Intelligence. MIT Press.
  • [17] Stevens, J., & Nelson, R. (2015). Digital Vernacular: Architectural Principles, Tools, and Processes. Routledge.
  • [18] Bratton, B. H. (2016). The Stack: On Software and Sovereignty. MIT Press
  • [19] Han, P., Hu, S., & Xu, R. (2025). Formal Feature Identification of Vernacular Architecture Based on Deep Learning-A Case Study of Jiangsu Province, China. Sustainability, 17(4), 1760. https://doi.org/10.3390/su17041760
  • [20] Menges, A., & Ahlquist, S. (Eds.). (2011). Computational Design Thinking. Wiley.
  • [21] Terzidis, K. (2006). Algorithmic Architecture. Architectural Press.
  • [22] Rudofsky, B. Architecture Without Architects. MoMA, 1964.
  • [23] Kitchin, R., & Dodge, M. (2011). Code/Space: Software and Everyday Life. MIT Press. https://doi.org/10.7551/mitpress/9780262042482.001.0001
  • [24] Hu, R., Huang, Z., Tang, Y., van Kaick, O., Zhang, H., & Huang, H. (2020). Graph2Plan: Learning floorplan generation from layout graphs. arXiv:2004.13204.
  • [25] Nauata, N., Hosseini, S., Chang, K.-H., Chu, H., Cheng, C.-Y., & Furukawa, Y. (2021). House-GAN++: Generative adversarial layout refinement networks. CVPR 2021.
  • [26] Shabani, M., Rezaei, M., Liu, A., & Furukawa, Y. (2023). HouseDiffusion: Vector floorplan generation via a diffusion model with discrete-time coordinates. CVPR 2023.
  • [27] Caldas, L., & Norouzi, N. (2020, November 17). Hands-on with a project rediscover: Generatively designing the Autodesk Toronto Office. Autodesk University. Retrieved on April 10, 2025, from https://www.autodesk.com/autodesk-university/article/Hands-Project-Rediscover-Generatively-Designing-Autodesk-Toronto-Office-2020
  • [28] Cotruta, C. (2025). AI-generated or architect-led? Defining authorship in the digital age. Archinect. Retrieved on April 10, 2025, from https://archinect.com/blog/article/150465244/ai-generated-or-architect-led-defining-authorship-in-the-digital-age
  • [29] Sanchez, T. W., Brenman, M., & Ye, X. (2025). The Ethical Concerns of Artificial Intelligence in Urban Planning. Journal of the American Planning Association, 91(2), 294-307. https://doi.org/10.1080/01944363.2024.2355305
  • [30] Plevris, V., & Hosamo, H. (2025). Responsible AI in structural engineering: A framework for ethical use. Frontiers in Built Environment, 11, 1612575. https://doi.org/10.3389/fbuil.2025.1612575
  • [31] Gattupalli, A. (2024). Computational design in India: Dialogues between modern and vernacular form. ArchDaily. Retrieved on April 10, 2025, from https://www.archdaily.com/1024494/computational-design-in-india-dialogues-between-modern-and-vernacular-form
  • [32] Parvin, A. (2013). Architecture (and) Otherwise. TED Books.
  • [33] von Osten, M. (2009). Architecture Without Architects- Anarchist Approach. e-flux Journal. Retrieved on April 10, 2025, from https://www.e-flux.com/journal/06/61401/architecture-without-architects-another-anarchist-approach/
  • [34] Ratti, C., & Claudel, M. (2015). Open Source Architecture. Thames & Hudson.
  • [35] Yang, F., & Zhang, J. (2024). Prompt-based automation of BIM code compliance checking by leveraging large language models. Automation in Construction, 168, 105817. https://doi.org/10.1016/j.autcon.2024.105817
  • [36] Chen, N., Lin, X., Jiang, H., & An, Y. (2024). Automated Building Information Modeling Compliance Check through a Large Language Model Combined with Deep Learning and Ontology. Buildings, 14(7), 1983. https://doi.org/10.3390/buildings14071983
  • [37] Yaneva, A. (2009). Made by the Office for Metropolitan Architecture: An Ethnography of Design. 010 Publishers.

Tasarım Öldü! Yaşasın Algoritma: Yeni Vernakülerin Manifestosu

Year 2026, Volume: 14 Issue: 1 , 123 - 136 , 31.03.2026
https://izlik.org/JA89TM38SM

Abstract

Bu makale, yapay zekâ, makine öğrenmesi ve veri odaklı sistemlerin mimarlık pratiğini ve düşüncesini nasıl dönüştürdüğünü inceler. Spekülatif ve eleştirel bir manifesto çerçevesinde kurgulanan çalışma, tasarım eylemindeki yaratıcı öznenin yerinin bireysel mimardan algoritmik süreçlere kaydığını ve bu dönüşümün teknik, toplumsal, etik ve kültürel düzeylerde geniş yankılar yarattığını ileri sürer. Makaledeki tartışma üç eksen boyunca geliştirilmiştir. İlk olarak, “tasarımın ölümü” kavramı, yapay zekâ sistemlerinin alternatifleri üretme, değerlendirme ve optimize etme kapasitesiyle birlikte mimarın tekil müelliflik konumunun aşınmasını ifade eder; bu süreçte insan, hesaplamalı çıktının küratörü, eğiticisi ve hakemi olarak yeniden konumlanır. İkinci olarak, “algoritmik yerelcilik” kavramı, dijital araçların yerel mimari gelenekleri ve biçimsel özellikleri analiz ederek, bunlardan öğrenme yoluyla yeni ve bağlama duyarlı mimari yorumlar üretebileceğini öne sürer; ancak bu süreçte, farklı kültürel kimliklerin birbirine benzemesi ve çeşitliliğin azalması riskine de dikkat çeker. Kültürel sürdürülebilirlik, kapsayıcı ve şeffaf veri setleri ile katılımcı geri bildirim döngülerini gerektirir. Üçüncü eksende ise “Mimarsız Mimarlık v2”, Rudofsky’nin yaklaşımını çağdaş koşullar altında yeniden yorumlar: Yazılım, kod ve robotik sistemlerin, yapılı çevredeki etkinliği insanlar ve insan-dışı aktörler arasında dağıtarak yeni sorumluluk rejimleri ve mesleki roller yarattığını tartışır. Makale, mimarlığın bireysellikten kolektif zekâya, estetik yargıdan sistematik üretime ve sabit otoriteden akışkan yönetişime doğru evrildiğini ileri sürer. “Tasarım öldü” ifadesi bir sonu değil, insan-makine ortaklığının doğuşunu simgeler. Bu yeni düzende yaratıcı sorumluluk paylaşılır; mimarlığın geleceği, etik, yerellik ve kamusal değerle uyumlu yeni yerelcilikler aracılığıyla yeniden tasavvur edilir.

References

  • [1] Onatayo, D., Onososen, A., Oyediran, A. O., Oyediran, H., Arowoiya, V., & Onatayo, E. (2024). Generative AI Applications in Architecture, Engineering, and Construction: Trends, Implications for Practice, Education & Imperatives for Upskilling-A Review. Architecture, 4(4), 877-902. https://doi.org/10.3390/architecture4040046
  • [2] Yiannoudes, S. (2025). Shaping Architecture with Generative Artificial Intelligence: Deep Learning Models in Architectural Design Workflow. Architecture, 5(4), 94. https://doi.org/10.3390/architecture5040094
  • [3] Albukhari, I. N. (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, 16(4), 1457-1476. https://doi.org/10.1007/s43995-025-00186-1
  • [4] Huang, S.-Y. (2025). The Connectionist Turn: How Contemporary Generative AI Reshapes Architectural Rationality. Architecture, 5(4), 132. https://doi.org/10.3390/architecture5040132 [5] Leach, N. (2022). Architecture in the Age of Artificial Intelligence: An Introduction to AI for Architects. Bloomsbury Visual Arts.
  • [6] Burry, M. (2020). Urban Futures: Designing the Digitalised City. John Wiley & Sons.
  • [7] Picon, A. (2022). Architecture and Technology: From the Prehistory to the Digital Age. Birkhäuser.
  • [8] Schumacher, P. (2016). Parametricism 2.0: Rethinking Architecture’s Agenda for the 21st Century. Architectural Design, 86(2), 8-17.
  • [9] Liang, C.-J., Le, T.-H., Ham, Y., Mantha, B. R. K., Cheng, M. H., & Lin, J. J. (2024). Ethics of artificial intelligence and robotics in the architecture, engineering, and construction industry. Automation in Construction, 162, 105369. https://doi.org/10.1016/j.autcon.2024.105369
  • [10] Cheong, L. J. M. (2024). The era of intelligent architecture: Rethinking architectural design in the age of artificial intelligence. Frontiers in Human Dynamics, 6, 1421273. https://doi.org/10.3389/fhumd.2024.1421273
  • [11] Crawford, K. (2021). Atlas of AI: Power, Politics, and the Planetary Costs of Artificial Intelligence. Yale University Press.
  • [12] 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
  • [13] Steenson, M. W. (2022). Architectural Intelligence: How Designers and Architects Created the Digital Landscape. MIT Press.
  • [14] Costanza-Chock, S. (2020). Design Justice: Community-Led Practices to Build the Worlds We Need. MIT Press.
  • [15] Papagiannidis, S., Mikalef, P., Conboy, K., & Tosunoglu, S. (2025). Artificial intelligence governance in organizational decision making: Balancing autonomy, accountability, and transparency. The Journal of Strategic Information Systems, 34(2), 101885. https://doi.org/10.1016/j.jsis.2024.101885
  • [16] Carpo, M. (2017). The Second Digital Turn: Design Beyond Intelligence. MIT Press.
  • [17] Stevens, J., & Nelson, R. (2015). Digital Vernacular: Architectural Principles, Tools, and Processes. Routledge.
  • [18] Bratton, B. H. (2016). The Stack: On Software and Sovereignty. MIT Press
  • [19] Han, P., Hu, S., & Xu, R. (2025). Formal Feature Identification of Vernacular Architecture Based on Deep Learning-A Case Study of Jiangsu Province, China. Sustainability, 17(4), 1760. https://doi.org/10.3390/su17041760
  • [20] Menges, A., & Ahlquist, S. (Eds.). (2011). Computational Design Thinking. Wiley.
  • [21] Terzidis, K. (2006). Algorithmic Architecture. Architectural Press.
  • [22] Rudofsky, B. Architecture Without Architects. MoMA, 1964.
  • [23] Kitchin, R., & Dodge, M. (2011). Code/Space: Software and Everyday Life. MIT Press. https://doi.org/10.7551/mitpress/9780262042482.001.0001
  • [24] Hu, R., Huang, Z., Tang, Y., van Kaick, O., Zhang, H., & Huang, H. (2020). Graph2Plan: Learning floorplan generation from layout graphs. arXiv:2004.13204.
  • [25] Nauata, N., Hosseini, S., Chang, K.-H., Chu, H., Cheng, C.-Y., & Furukawa, Y. (2021). House-GAN++: Generative adversarial layout refinement networks. CVPR 2021.
  • [26] Shabani, M., Rezaei, M., Liu, A., & Furukawa, Y. (2023). HouseDiffusion: Vector floorplan generation via a diffusion model with discrete-time coordinates. CVPR 2023.
  • [27] Caldas, L., & Norouzi, N. (2020, November 17). Hands-on with a project rediscover: Generatively designing the Autodesk Toronto Office. Autodesk University. Retrieved on April 10, 2025, from https://www.autodesk.com/autodesk-university/article/Hands-Project-Rediscover-Generatively-Designing-Autodesk-Toronto-Office-2020
  • [28] Cotruta, C. (2025). AI-generated or architect-led? Defining authorship in the digital age. Archinect. Retrieved on April 10, 2025, from https://archinect.com/blog/article/150465244/ai-generated-or-architect-led-defining-authorship-in-the-digital-age
  • [29] Sanchez, T. W., Brenman, M., & Ye, X. (2025). The Ethical Concerns of Artificial Intelligence in Urban Planning. Journal of the American Planning Association, 91(2), 294-307. https://doi.org/10.1080/01944363.2024.2355305
  • [30] Plevris, V., & Hosamo, H. (2025). Responsible AI in structural engineering: A framework for ethical use. Frontiers in Built Environment, 11, 1612575. https://doi.org/10.3389/fbuil.2025.1612575
  • [31] Gattupalli, A. (2024). Computational design in India: Dialogues between modern and vernacular form. ArchDaily. Retrieved on April 10, 2025, from https://www.archdaily.com/1024494/computational-design-in-india-dialogues-between-modern-and-vernacular-form
  • [32] Parvin, A. (2013). Architecture (and) Otherwise. TED Books.
  • [33] von Osten, M. (2009). Architecture Without Architects- Anarchist Approach. e-flux Journal. Retrieved on April 10, 2025, from https://www.e-flux.com/journal/06/61401/architecture-without-architects-another-anarchist-approach/
  • [34] Ratti, C., & Claudel, M. (2015). Open Source Architecture. Thames & Hudson.
  • [35] Yang, F., & Zhang, J. (2024). Prompt-based automation of BIM code compliance checking by leveraging large language models. Automation in Construction, 168, 105817. https://doi.org/10.1016/j.autcon.2024.105817
  • [36] Chen, N., Lin, X., Jiang, H., & An, Y. (2024). Automated Building Information Modeling Compliance Check through a Large Language Model Combined with Deep Learning and Ontology. Buildings, 14(7), 1983. https://doi.org/10.3390/buildings14071983
  • [37] Yaneva, A. (2009). Made by the Office for Metropolitan Architecture: An Ethnography of Design. 010 Publishers.
There are 36 citations in total.

Details

Primary Language English
Subjects Architectural History, Theory and Criticism
Journal Section Research Article
Authors

Fazıl Akdağ 0000-0002-3316-8104

Submission Date October 29, 2025
Acceptance Date March 9, 2026
Publication Date March 31, 2026
IZ https://izlik.org/JA89TM38SM
Published in Issue Year 2026 Volume: 14 Issue: 1

Cite

APA Akdağ, F. (2026). Design is Dead! Long Live the Algorithm: the Manifesto of the New Vernaculars. Gazi University Journal of Science Part B: Art Humanities Design and Planning, 14(1), 123-136. https://izlik.org/JA89TM38SM