Revolutionizing Construction: The Impact of Artificial Intelligence on Productivity

Authors

  • Nwosu Obinnaya Chikezie Victor1* 1Department of Electrical and Electronics Engineering, Faculty of Engineering and the Built Environment, University of Johannesburg, Johannesburg, 2006 South Africa.

DOI:

https://doi.org/10.51483/IJAIML.3.2.2023.57-73

Keywords:

Digital transformation, AI deployment in construction, Human-technology interaction

Abstract

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.

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Published

2023-07-05

How to Cite

Nwosu Obinnaya Chikezie Victor1*. (2023). Revolutionizing Construction: The Impact of Artificial Intelligence on Productivity. International Journal of Artificial Intelligence and Machine Learning, 3(02), 57–73. https://doi.org/10.51483/IJAIML.3.2.2023.57-73

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