EVALUATING THE POTENTIAL OF AI CHAT BOTS FOR CONSTRUCTION ESTIMATING
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Lambert, Davis A
Languell, Cole
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Abstract
Artificial intelligence (AI) promises a new age of automation within the U.S. economy. AI leverages advanced machine learning algorithms to predict patterns and manage tasks ranging from simple to complex. AI chatbots like ChatGPT showcase the expanding potential of artificial intelligence by simplifying the implementation of the technology and providing an accessible method for enhancing productivity and reducing workloads. In construction, the application of AI can provide efficiency and reduced timelines in the bidding process compared to traditional methods. The efficiency benefits associated with AI are particularly helpful in cost estimating, where contractors can be more competitive by providing cost expectations faster and with reduced human error. However, the performance and accuracy of the AI output require testing to evaluate the accuracy of the automated results before adoption as an industry standard and incorporation into the bidding process. This study investigates the accuracy of these automated construction outputs through a comparison of AI and traditional approaches to estimating and scheduling. The challenges associated with the incorporation of AI in construction are also investigated to determine the impact of implementation costs, additional AI training requirements, and resistance to change in the industry. After acknowledging the current barriers, the continued development of artificial intelligence and the potential applications of the technology are discussed to reshape the industry, streamline project timelines, and improve overall safety and efficiency in construction operations.
