<abstract xmlns="http://www.w3.org/1999/xhtml">

<p>Building accidents and fatalities are prevalent, especially in rising nations like Ghana, despite rapid technical developments. Weak regulations, training, and change resistance typically undermine traditional safety measures. This study aimed to identify potential obstacles that prevent the implementation of artificial intelligence (AI) in construction health and safety in Ghana. A survey research approach was employed to get the study population, which consisted of 110 construction experts made up of project managers, site engineers, skilled workers, and safety officers complete the questionnaire. Data analysis included descriptive statistics, chi-square, and regression. According to varied demographic responses, AI increases design and engineering, safety and security, and human resources efficiency, decision-making, and safety. Lack of innovation culture, training, and regulation harms health and safety. Using AI promises to overcome these hurdles by minimising risks, improving worker well-being, and safe work environment. The Ghanaian industry study focus and small sample size may prejudice, as the limitations of the study. Samples must be larger and more diversified to generalise. The practical implication is that Ghanaian builders may use the study’s findings. Understanding AI’s potential and limitations helps them develop AI solutions and problem-solving methodologies. Safety, cost, and worker well-being can improve. The successful integration of AI in construction health and safety can affect society. AI can reduce workplace accidents and improve productivity, well-being, and healthcare costs. This work adds to the growing body of knowledge on AI’s building safety applications in emerging economies like Ghana. It identifies environmental restrictions and enables governments, industry leaders, and researchers to develop and implement AI solutions.</p>
</abstract>

Building accidents and fatalities are prevalent, especially in rising nations like Ghana, despite rapid technical developments. Weak regulations, training, and change resistance typically undermine traditional safety measures. This study aimed to identify potential obstacles that prevent the implementation of artificial intelligence (AI) in construction health and safety in Ghana. A survey research approach was employed to get the study population, which consisted of 110 construction experts made up of project managers, site engineers, skilled workers, and safety officers complete the questionnaire. Data analysis included descriptive statistics, chi-square, and regression. According to varied demographic responses, AI increases design and engineering, safety and security, and human resources efficiency, decision-making, and safety. Lack of innovation culture, training, and regulation harms health and safety. Using AI promises to overcome these hurdles by minimising risks, improving worker well-being, and safe work environment. The Ghanaian industry study focus and small sample size may prejudice, as the limitations of the study. Samples must be larger and more diversified to generalise. The practical implication is that Ghanaian builders may use the study’s findings. Understanding AI’s potential and limitations helps them develop AI solutions and problem-solving methodologies. Safety, cost, and worker well-being can improve. The successful integration of AI in construction health and safety can affect society. AI can reduce workplace accidents and improve productivity, well-being, and healthcare costs. This work adds to the growing body of knowledge on AI’s building safety applications in emerging economies like Ghana. It identifies environmental restrictions and enables governments, industry leaders, and researchers to develop and implement AI solutions.

Limitations for the Implementation of Artificial Intelligence in Construction Health and Safety in Ghana

Department of Construction Technology and Management, School of Built and Natural Environment

Baltic Journal of Real Estate Economics and Construction Management

This work is licensed under the Creative Commons Attribution 4.0 International License.

Building accidents and fatalities are prevalent, especially in rising nations like Ghana, despite rapid technical developments. Weak regulations, training, and...

Limitations for the Implementation of Artificial Intelligence in Construction Health and Safety in Ghana

Publié en ligne: 12 juil. 2024

Pages: 103 - 118

Reçu: 21 févr. 2024

Accepté: 10 avr. 2024

DOI: https://doi.org/10.2478/bjreecm-2024-0007

Mots clés
Artificial intelligence (AI), construction industry, Ghana, health, safety

© 2024 Zakari Mustapha et al., published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

Limitations for the Implementation of Artificial Intelligence in Construction Health and Safety in Ghana

Publié en ligne: 12 juil. 2024

Pages: 103 - 118

Reçu: 21 févr. 2024

Accepté: 10 avr. 2024

DOI: https://doi.org/10.2478/bjreecm-2024-0007

Mots clésArtificial intelligence (AI), construction industry, Ghana, health, safety

© 2024 Zakari Mustapha et al., published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

Mots clés
Artificial intelligence (AI), construction industry, Ghana, health, safety