Abstract
The expansion of the construction industry is significantly hampered by complicated issues such as health and safety, cost and project overruns, productivity, and labour insufficiency. Furthermore, this business is among the least technologically savvy on the planet, making it difficult to find answers to the problems it is now facing. Artificial intelligence (AI) is a cutting-edge computer-generated technology transforming the manufacturing, merchandising, and public relations industries. Machine learning, computer vision, knowledge-based systems, optimisation, and robotics are artificial intelligence subfields that have been successfully deployed to improve production, safety, efficiency, and security in a variety of sectors. Despite the ease of AI applications, the construction industry continues to face a number of AI-related challenges. This study intends to decipher AI applications, investigate AI methodologies, and identify potential and challenges for AI applications in the construction sector. Resources, properties, and cost-effectiveness were considered when we examined the literature on artificial intelligence applications in the building industry. This research also emphasises and covers the opportunities and limitations of using artificial intelligence in construction. This study explores the most significant AI applications connected to the construction industry, as well as the challenges and road to achieving the potential advantages of AI in the area.
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Arumugam, S., Ravichandran, P.T. (2024). Artificial Intelligence in the Construction Industry: A Status Update, Prospects, and Potential Application and Challenges. In: Reddy, K.R., Ravichandran, P.T., Ayothiraman, R., Joseph, A. (eds) Recent Advances in Civil Engineering. ICC IDEA 2023. Lecture Notes in Civil Engineering, vol 398. Springer, Singapore. https://doi.org/10.1007/978-981-99-6229-7_5
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