International Journal of Artificial Intelligence and Machine Learning
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Volume 3, Issue 2, July 2023 | |
Research PaperOpenAccess | |
Revolutionizing Construction: The Impact of Artificial Intelligence on Productivity |
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1Department of Electrical and Electronics Engineering, Faculty of Engineering and the Built Environment, University of Johannesburg, Johannesburg, 2006 South Africa. E-mail: 221548262@mycput.ac.za
*Corresponding Author | |
Int.Artif.Intell.&Mach.Learn. 3(2) (2023) 57-73, DOI: https://doi.org/10.51483/IJAIML.3.2.2023.57-73 | |
Received: 17/01/2023|Accepted: 11/06/2023|Published: 05/07/2023 |
The construction sector has begun to embrace the digital revolution, intending to improve efficiency. On the other hand, how should the industry adopt digital tools?. And how should the connection between humans and technology function?. This study aims to shed light on how the construction sector may bridge the gap. between AI deployments’s potential and realised advantages. This paper presents research based on a comprehensive review of the literature, case studies of Speller Metcalfe, a design-build and refurbishment project in Malvern, England, Jacobsen Construction, a project digitising the planning process in Salt Lake City, Utah, USA, and Menkes Development Inc., real-time visibility to the construction site insights and data-driven decision-making in Toronto, Canada. The experiences gained via this study show that it is feasible to acquire expertise while adopting sophisticated technologies, such as Artificial Intelligence (AI), by installing fundamental digital tools. However, when it comes to AI, the level of trust between humans and machines will be the deciding element in its success. This paper is a pioneering effort to examine the deployment of AI and how people and technology should interact. This study is limited to three case studies, three digital technologies. To further the study, it is suggested to debate the adaptation of AI on the user’s premises, gather more empirical data, and examine case studies from different sectors.
Keywords: Digital transformation, AI deployment in construction, Human-technology interaction
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