Article section
The Impact of Artificial Intelligence on Design: Enhancing Creativity and Efficiency
Abstract
Artificial Intelligence (AI) has emerged as a transformative force in the design industry, reshaping the way creativity and efficiency are approached in the design process. This paper explores the profound impact AI has on design, highlighting its role in enhancing creativity, improving efficiency, and expanding possibilities through advanced algorithms and machine learning. AI assists designers by automating repetitive tasks, generating new design variations, and providing insights into consumer preferences, thus enabling data-driven and personalized design solutions. However, the integration of AI in design is not without challenges, including concerns about the loss of human touch, ethical implications regarding authorship and intellectual property, and the potential perpetuation of biases present in AI training data. Through a mixed-method research approach involving semi-structured interviews and content analysis, this study investigates how AI serves as a collaborator in the design process, offering valuable insights for leveraging AI to push the boundaries of creativity while addressing ethical and practical challenges. The findings indicate that AI has the potential to revolutionize design by acting as a powerful tool that augments human creativity, enhances productivity, and facilitates personalized user experiences.
Article information
Journal
Journal of Engineering and Applied Sciences
Volume (Issue)
3 (1)
Pages
1-13
Published
Copyright
Copyright (c) 2024 Israel Olamilekan Adeleye (Author)
Open access
This work is licensed under a Creative Commons Attribution 4.0 International License.
How to Cite
References
Adeleye, I. O. (2023). The AI Effect: Rethinking Design Workflows for Enhanced Productivity and Creativity. International Journal of Science and Technology Innovation, 2(1), 1-19.
Amrollahi, A., & Rowlands, B. (2022). Artificial intelligence in the design process: A review and research agenda. Design Studies, 73, 100992. https://doi.org/10.1016/j.destud.2022.100992
Anderson, B., & Kalra, N. (2019). The Role of Artificial Intelligence in Creative Design. Design Issues, 35(4), 64-77. https://doi.org/10.1162/desi_a_00523
Autodesk. (2022). Generative Design in Architecture. Retrieved from https://www.autodesk.com/solutions/generative-design
Bender, E. M., Gebru, T., McMillan-Major, A., & Shmitchell, S. (2021). On the Dangers of Stochastic Parrots: Can Language Models Be Too Big? Proceedings of the 2021 ACM Conference on Fairness, Accountability, and Transparency, 610–623. https://doi.org/10.1145/3442188.3445922
Bolukbasi, T., Chang, K. W., Zou, J. Y., Saligrama, V., & Kalai, A. (2016). Man is to Computer Programmer as Woman is to Homemaker? Debiasing Word Embeddings. Advances in Neural Information Processing Systems, 29, 4349-4357. https://doi.org/10.48550/arXiv.1607.06520
Braun, V., & Clarke, V. (2006). Using thematic analysis in psychology. Qualitative Research in Psychology, 3(2), 77–101. https://doi.org/10.1191/1478088706qp063oa
Canva. (2022). AI-Powered Design Tools. Retrieved from https://www.canva.com/
Creswell, J. W., & Creswell, J. D. (2018). Research Design: Qualitative, Quantitative, and Mixed Methods Approaches (5th ed.). SAGE Publications.
Cruz, A., & Wishart, D. (2020). AI in Design: The Next Frontier for Creativity. Journal of Design Studies, 41(2), 234-245. https://doi.org/10.1016/j.destud.2020.06.001
Denzin, N. K. (2017). The Research Act: A Theoretical Introduction to Sociological Methods. Transaction Publishers.
Dwivedi, Y. K., Hughes, D. L., Ismagilova, E., Aarts, G., Coombs, C., Crick, T., & Williams, M. D. (2021). Artificial Intelligence (AI): Multidisciplinary perspectives on emerging challenges, opportunities, and agenda for research, practice, and policy. International Journal of Information Management, 57, 101994. https://doi.org/10.1016/j.ijinfomgt.2019.08.002
Haenlein, M., & Kaplan, A. (2019). A brief history of artificial intelligence: On the past, present, and future of artificial intelligence. California Management Review, 61(4), 5–14. https://doi.org/10.1177/0008125619864925
Li, J., Du, R., Tang, M., & Guo, P. (2023). Applications of Artificial Intelligence in Creative Design. Computer-Aided Design and Applications, 20(2), 300–319. https://doi.org/10.14733/cadaps.2023.300-319
Lincoln, Y. S., & Guba, E. G. (1985). Naturalistic Inquiry. SAGE Publications.
Mordvintsev, A., Olah, C., & Tyka, M. (2015). Inceptionism: Going Deeper into Neural Networks. Google Research Blog. https://research.googleblog.com/
Oladimeji, O. (2023). Enhancing Data Pipeline Efficiency Using Cloud-Based Big Data Technologies: A Comparative Analysis of AWS and Microsoft Azure. Journal of Multidisciplinary Research and Innovation, 2(1), 11-22.
Shneiderman, B. (2020). Human-centered artificial intelligence: Reliable, safe & trustworthy. International Journal of Human-Computer Interaction, 36(6), 495–504. https://doi.org/10.1080/10447318.2020.1741118
Wilson, H. J., & Daugherty, P. R. (2018). Collaborative intelligence: Humans and AI are joining forces. Harvard Business Review, 96(4), 114–123.