Integrating ChatGPT, Bard, and Leading-edge Generative Artificial Intelligence in Building and Construction Industry: Applications, Framework, Challenges, and Future Scope

34 Pages Posted: 4 Dec 2023 Last revised: 11 Dec 2023

See all articles by Nitin Rane

Nitin Rane

University of Mumbai

Saurabh Choudhary

University of Mumbai

Jayesh Rane

University of Mumbai

Date Written: November 26, 2023

Abstract

The infusion of generative artificial intelligence (AI), as exemplified by models such as ChatGPT and Bard is proving to be a revolutionary catalyst within the building and construction sector. This exploration delves into the myriad applications, establishes a conceptual framework, confronts challenges, and delineates the prospective trajectory of harnessing generative AI across diverse stages of the construction lifecycle. In the domain of project management and scheduling, AI models contribute to optimal resource allocation, task sequencing, and timeline optimization, thereby elevating the overall efficiency of project delivery. Design optimization is equally pivotal, as generative AI assists architects and engineers in crafting innovative designs that concurrently adhere to functional and aesthetic criteria. The predictive prowess of generative AI fortifies risk management, furnishing stakeholders with insights into potential project risks and effective mitigation strategies. Meanwhile, in the realm of cost estimation and budgeting, the enhanced accuracy and speed offered by generative AI optimize financial planning and resource allocation. Supply chain management benefits from streamlined processes driven by AI insights, ensuring the timely and cost-effective procurement of materials. Generative AI is a linchpin in quality control, identifying defects and deviations from standards to enhance overall construction quality. Real-time data analysis strengthens site monitoring and safety protocols, enabling proactive risk mitigation and ensuring a secure working environment. Collaboration and communication within construction teams are augmented by generative AI, facilitating seamless information exchange and decision-making processes. Predictive maintenance and asset management undergo a transformation, with AI algorithms predicting equipment failures and optimizing maintenance schedules. Furthermore, the integration of generative AI tackles the imperative of energy efficiency and sustainability in the construction sector. Models like ChatGPT and bard contribute significantly to optimizing building designs for energy conservation and sustainable practices. This paper also explores the incorporation of ChatGPT with augmented reality (AR), virtual reality (VR), and Building Information Modeling (BIM). Ethical concerns, data privacy, and the imperative for robust cybersecurity measures necessitate careful consideration. As the industry embraces these innovations, substantial improvements in efficiency, sustainability, and overall project outcomes are poised to unfold.

Keywords: ChatGPT, Bard, Generative artificial intelligence, Construction industry, Large language models, Project management, Artificial intelligence.

Suggested Citation

Rane, Nitin and Choudhary, Saurabh and Rane, Jayesh, Integrating ChatGPT, Bard, and Leading-edge Generative Artificial Intelligence in Building and Construction Industry: Applications, Framework, Challenges, and Future Scope (November 26, 2023). Available at SSRN: https://ssrn.com/abstract=4645597 or http://dx.doi.org/10.2139/ssrn.4645597

Nitin Rane (Contact Author)

University of Mumbai ( email )

Mahatma Gandhi Road
Mumbai, 400032
India

Saurabh Choudhary

University of Mumbai ( email )

Maharashtra
India

Jayesh Rane

University of Mumbai ( email )

Mahatma Gandhi Road
Mumbai, 400032
India

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