The Role of Artificial Intelligence in Enhancing Design Innovation and Sustainability

Authors

  • Oluwagbemiga Paul Agboola Department of Architecture, Faculty of Architecture and Engineering, Istanbul Gelisim University, Istanbul, 34310, TURKEY. Author https://orcid.org/0000-0003-0384-1334

DOI:

https://doi.org/10.38027/smart-v1n1-2

Keywords:

Artificial Intelligence (AI), Generative Design, AI Personalization, Creative Collaboration, Ethical Concerns

Abstract

Artificial Intelligence (AI) is reshaping the design landscape, bridging computational efficiency with human creativity to revolutionize fields such as architecture, graphic design, and product development. This paper explores AI’s transformative impact, focusing on its ability to enhance productivity, foster innovation, and personalize user experiences. Objectives include identifying the benefits of AI-driven tools, analyzing their applications across domains such as architecture, graphic design, and product development, and evaluating ethical concerns related to AI in design. The research adopts a qualitative approach, to examine AI’s role as a creative collaborator and its implications for design methodologies. Results reveal that AI optimizes design iterations, accelerates prototyping, and democratizes access to high-quality resources, making design processes more inclusive and efficient. Findings also highlight ethical concerns, such as bias in AI systems and intellectual property disputes, which require balanced and responsible integration strategies. AI serves as a creative collaborator, enhancing ideation and prototyping processes. Despite its benefits, AI integration raises ethical concerns, including data bias, intellectual property disputes, and potential job displacement. These challenges necessitate equitable frameworks to ensure inclusive and responsible AI use. The future of AI in design promises even greater innovation with emerging technologies like augmented reality and the metaverse, fostering collaborative human-machine interactions. By embracing AI, designers can expand creative boundaries, producing solutions that are not only functional and visually compelling but also socially and environmentally sustainable. This study underscores the need for balanced integration, ensuring AI complements human ingenuity while redefining creativity in the evolving design landscape.

References

Agboola, O. P., & Farah, L. M. R. (2024). Smart technologies for Istanbul’s urban livability. In S. A. Zaki & S. Thapa (Eds.), Building sustainability, thermal comfort, and energy efficiency (Vol. 1, pp. 51–73). Penerbit UTM Press.

Agboola, O. P., Nia, H. A., Findikgil, M. M., & Yildirim, S. G. (2024). Assessing the effectiveness of the biophilic design approach in contribution to sustainable architectural goals. New Design Ideas, 8(Special Issue), 144–169. https://doi.org/10.62476/ndisi144

Botrugno, C., Kaplan, B., & DiBartolomeo, G. (2024). Ethical, legal, and social issues in digital dermatology. In Telemedicine and technological advances in dermatology (pp. 287–315). Springer Nature Switzerland. https://doi.org/10.1007/978-3-031-69091-4_22

Cala-Riquelme, Franklyn (2021): Autodesk Sketchbook: An application that minimizes time and maximizes results of taxonomic drawing. Zootaxa 4963 (3): 577-586, https://doi.org/10.11646/zootaxa.4963.3.10

Erdem, S. (2025). The synthesis between artificial intelligence and editing stories of the future. In Transforming cinema with artificial intelligence (pp. 221–240). IGI Global Scientific Publishing. https://doi.org/10.4018/979-8-3693-3916-9.ch009

Eskandari, S. (2024). Artificial intelligence: Exploring the benefits, risks, and regulations of AI technology. Simurgh AI.

Eviani, N. Y., Maskun, M., & Faqi, A. F. (2024). Legal challenges of AI-induced copyright infringement: Evaluating liability and dispute resolution mechanisms in the digital era. Jambura Law Review, 6(2), 403–428. https://doi.org/10.33756/jlr.v6i2.24459

Ferrara, E. (2023). Fairness and bias in artificial intelligence: A brief survey of sources, impacts, and mitigation strategies. Sustainability, 6(1), 3. https://doi.org/10.3390/su6010003

Forsgren, J., & Schröder, H. (2023). Can AI perform the work of human designers?: A qualitative study on the impact of AI on digital design professions.

Gupta, R., Srivastava, D., Sahu, M., Tiwari, S., Ambasta, R. K., & Kumar, P. (2021). Artificial intelligence to deep learning: Machine intelligence approach for drug discovery. Molecular Diversity, 25, 1315–1360. https://doi.org/10.1007/s11030-021-10217-3

Hanafy, N. O. (2023). Artificial intelligence's effects on design process creativity: A study on used AI text-to-image in architecture. Journal of Building Engineering, 80, 107999. https://doi.org/10.1016/j.jobe.2023.107999

Howe-Patterson, K., & Schuiling, I. (2020). Shopify in Germany: An analysis of a Canadian e-commerce platform’s marketing strategy and activities in an international market [Master’s thesis, University Name]. ProQuest Dissertations & Theses Global.

Ismayilov, M. (2024). Applications of artificial intelligence in engineering design: Tools and techniques. Luminis Applied Science and Engineering, 1(1), 1–12. https://doi.org/10.69760/lumin.202400004

Louie, R., Coenen, A., Huang, C. Z., Terry, M., & Cai, C. J. (2020). Novice-AI Music Co-Creation via AI-Steering Tools for Deep Generative Models. Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems, 1–13. https://doi.org/10.1145/3313831.3376739

Min, A. (2023). Artificial intelligence and bias: Challenges, implications, and remedies. Journal of Social Research. 2(11). 3808-3817. https://doi.org/10.55324/josr.v2i11.1477

Moreno-Rangel, A., & Conroy Dalton, R. (2023). Future Home. Routledge. https://doi.org/10.4324/9781003358244

Murray, M. D. (2024). Tools do not create: Human authorship in the use of generative artificial intelligence. Case Western Reserve Journal of Law, Technology & the Internet, 15, 76. https://doi.org/10.2139/ssrn.4501543

Pereira, J. L. J., Oliver, G. A., Francisco, M. B., Cunha Jr, S. S., & Gomes, G. F. (2022). A review of multi-objective optimization: Methods and algorithms in mechanical engineering problems. Archives of Computational Methods in Engineering, 29(4), 2285–2308. https://doi.org/10.1007/s11831-021-09663-x

Perez, A. T. E., Rossit, D. A., Tohme, F., & Vasquez, O. C. (2022). Mass customized/personalized manufacturing in Industry 4.0 and blockchain: Research challenges, main problems, and the design of an information architecture. Information Fusion, 79, 44–57. https://doi.org/10.1016/j.inffus.2021.10.011

Rebelatto, B. G., Salvia, A. L., Brandli, L. L., & Leal Filho, W. (2024). Examining energy efficiency practices in office buildings through the lens of LEED, BREEAM, and DGNB certifications. Sustainability, 16(11), 4345. https://doi.org/10.3390/su16114345

Rezk, M. W., Elmokadem, A., Hussein, H., & Badawy, N. M. (2023). The impact of digital tools on parametric architecture. Port-Said Engineering Research Journal, 27(1), 1–15. https://doi.org/10.21608/pserj.2023.176865.1203

Sarker, I. H. (2022). AI-based modelling: Techniques, applications and research issues towards automation, intelligent and smart systems. SN Computer Science, 3(2), 158. https://doi.org/10.1007/s42979-022-01043-x

Schulte, P., & Shemakov, R. (2024). The future of digital infrastructure: Case studies of global corporate strategies in augmented reality. In Global perspectives in the metaverse: Law, economics, and finance (pp. 119–143). Springer Nature Switzerland.

Schumacher, P. (2004). Digital Hadid. Springer Science & Business Media. https://doi.org/10.1007/978-3-031-54802-4_7

Sharma, P. (2024). [Author page]. Parametric Architecture. https://parametric-architecture.com/author/pragya-sharma/

Specking, E., Parnell, G., Pohl, E., & Buchanan, R. (2018). Early design space exploration with model-based system engineering and set-based design. Systems, 6(4), 45. https://doi.org/10.3390/systems6040045

Tomić, I., Juric, I., Dedijer, S., & Adamović, S. (2023, September). Artificial intelligence in graphic design. In Proceedings of the 54th Annual Scientific Conference of the International Circle of Educational Institutes of Graphic-Media Technology and Management, The Hellenic Union of Graphic Arts and Media Technology Engineers, Greece (pp. 85–93).

Xiang, Y., Chen, Y., Xu, J., & Chen, Z. (2022). Research on sustainability evaluation of green building engineering based on artificial intelligence and energy consumption. Energy Reports, 8, 11378–11391. https://doi.org/10.1016/j.egyr.2022.08.266

Downloads

Published

2024-12-27

How to Cite

The Role of Artificial Intelligence in Enhancing Design Innovation and Sustainability. (2024). Smart Design Policies, 1(1), 6-14. https://doi.org/10.38027/smart-v1n1-2

Share

Similar Articles

1-10 of 15

You may also start an advanced similarity search for this article.