Artificial intelligence (AI) in the architectural design of green buildings for smart cities

Abstract

The integration of artificial intelligence (AI) in architecture heralds a transformative era characterized by enhanced operational efficiency and financial savings, yet it also presents significant challenges that could undermine core architectural principles. This paper critically assessed AI’s impact on the architectural profession, focusing on the potential decline of human cognition, individuality in design, and the simplification of professional roles. It ultimately advocates for a balanced application of AI as a tool to enhance, rather than replace, human creativity and decision-making, ensuring that the richness of cultural and intellectual heritage in architecture is preserved. AI can serve as a powerful tool in the development of smart cities to enhance the architectural design of green buildings.

Keywords

artificial intelligence / smart cities / architectural design / intelligent urban planning / generative design / sustainability / predictive modeling / health impacts / green buildings

References

[1] Zeytin E, Kösenciğ KÖ, Öner D (2024) The role of AI design assistance on the architectural design process: An empirical research with novice designers. J Comput Des 5: 1-30. https://doi.org/10.53710/jcode.1421039

[2] Yin M, Jiang S, Niu X (2024) Can AI really help? The double-edged sword effect of AI assistant on employees’ innovation behavior. Comput Hum Behav 150: 107987. https://doi.org/10.1016/j.chb.2023.107987

[3] Anantrasirichai N, Bull D (2022) Artificial intelligence in the creative industries: A review. Artif Intell Rev 55: 589-656. https://doi.org/10.1007/s10462-021-10039-7

[4] Mirarchi C, Pavan A, Di Martino B, et al. (2021) Impact of industry 4.0 in architecture and cultural heritage: Artificial intelligence and semantic web technologies to empower interoperability and data usage, In: Research Anthology on Cross-Industry Challenges of Industry 4.0 , IGI Global Scientific Publishing, 1397-1421. http://dx.doi.org/10.4018/978-1-7998-8548-1.ch070

[5] Noor AK (2017) AI and the future of the machine design. Mech Eng 139: 38-43. https://doi.org/10.1115/1.2017-Oct-2

[6] Shalley CE, Gilson LL (2017) Creativity and the management of technology: Balancing creativity and standardization. Prod Oper Manage 26: 605-616. https://doi.org/10.1111/poms.12639

[7] Khandakar S, Al Mamun MA, Islam MM, et al. (2024) Unveiling early detection and prevention of cancer: Machine learning and deep learning approaches. Educ Adm Theory Pract 30: 14614-14628. https://doi.org/10.53555/kuey.v30i5.7014

[8] Jain A, Babu KA (2024) An Examination of cutting-edge design and construction methods concerning green architecture and renewable energy efficiency for tier-ii cities of India. Arch Tech Sci 31: 57-69. https://doi.org/10.70102/afts.2024.1631.057

[9] Pasupuleti V (2023) Ascertaining the extent to which AI is revolutionizing architecture: Exploratory survey. J Innovations Eng Tech Res 2. Available from: https://hummingbirdjournals.com/jietr/article/view/259.

[10] Pasupuleti V, Inyang L (2022) Mitigating pancreatic cancer through data-driven AI techniques, holistic health record, iHELP and integrative systems. Int J Health Pharm Res 7: 63-77. Available from: https://www.iiardjournals.org/.

[11] Mersal A (2023) The future of the sustainable green architecture through technology. HBRC J 19: 33-62. https://doi.org/10.1080/16874048.2021.1948160

[12] Krausková V, Pifko H (2021) Use of artificial intelligence in the field of sustainable architecture: Current knowledge. ALFA 26: 20-29. https://doi.org/10.2478/alfa-2021-0004

[13] Jain A, Babu KA (2025) Reviewing the green building concepts along with the applications of AI and IoT for environmental monitoring and designing sustainable infrastructures. J Inf Math Sci 17: 123-145. https://doi.org/10.26713/jims.v17i1.3056

[14] Manias G, Azqueta-Alzúaz A, Dalianis A, et al. (2024) Advanced data processing of pancreatic cancer data integrating ontologies and machine learning techniques to create holistic health records. Sensors 24: 1739. https://doi.org/10.3390/s24061739

[15] Chugh V, Basu A, Kaushik A, et al. (2024) Employing nano-enabled artificial intelligence (AI)-based smart technologies for prediction, screening, and detection of cancer. Nanoscale 16: 5458-5486. https://doi.org/10.1039/D3NR05648A

[16] Aliero MS, Asif M, Ghani I, et al. (2022) Systematic review analysis on smart building: Challenges and opportunities. Sustainability 14: 3009. https://doi.org/10.3390/su14053009

[17] Jain A, Babu KA (2024) Role of green buildings in the sustainable development of Tier-II cities in India. Arch Tech Sci 31: 368-378. https://doi.org/10.70102/afts.2024.1631.368