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Leveraging ChatGPT to Aid Construction Hazard Recognition and Support Safety Education and Training

Author

Listed:
  • S M Jamil Uddin

    (Department of Civil, Construction, and Environmental Engineering, North Carolina State University, Raleigh, NC 27606, USA)

  • Alex Albert

    (Department of Civil, Construction, and Environmental Engineering, North Carolina State University, Raleigh, NC 27606, USA)

  • Anto Ovid

    (Department of Civil, Construction, and Environmental Engineering, North Carolina State University, Raleigh, NC 27606, USA)

  • Abdullah Alsharef

    (Civil Engineering Department, College of Engineering, King Saud University, Riyadh 11451, Saudi Arabia)

Abstract

Proper hazard recognition is fundamental to effective safety management in construction workplaces. Nevertheless, poor hazard recognition levels are a widespread and persistent problem in the construction industry. For example, recent investigations have demonstrated that a significant number of workplace hazards often remain unrecognized in construction workplaces. These unrecognized workplace hazards often remain unmanaged and can potentially translate into devastating and unexpected safety incidents. Therefore, interventions targeted at improving hazard recognition levels are foundational to enhancing safety management in construction workplaces. The main objective of the current investigation was to examine if ChatGPT, a language model recently launched by OpenAI, can aid hazard recognition when integrated into the curriculum of students pursuing a career in the construction industry. The investigation was carried out as an experimental effort with 42 students enrolled in the construction program at a major state university in the United States. First, prior to the introduction of ChatGPT as an intervention, the pre-intervention hazard recognition ability of the students was measured. Next, ChatGPT and its capabilities were introduced to the students in a classroom setting. Guidance was also offered on how the students could leverage ChatGPT to aid hazard recognition efforts. Finally, the post-intervention hazard recognition ability of the students was measured and compared against their earlier performance. The result suggests that ChatGPT can be leveraged to improve hazard recognition levels. Accordingly, integrating ChatGPT as part of safety education and training can yield benefits and prepare the next generation of construction professionals for industry success.

Suggested Citation

  • S M Jamil Uddin & Alex Albert & Anto Ovid & Abdullah Alsharef, 2023. "Leveraging ChatGPT to Aid Construction Hazard Recognition and Support Safety Education and Training," Sustainability, MDPI, vol. 15(9), pages 1-22, April.
    • Handle: RePEc:gam:jsusta:v:15:y:2023:i:9:p:7121-:d:1131545
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    References listed on IDEAS

    as
    1. S M Jamil Uddin & Alex Albert & Abdullah Alsharef & Bhavana Pandit & Yashwardhan Patil & Chukwuma Nnaji, 2020. "Hazard Recognition Patterns Demonstrated by Construction Workers," IJERPH, MDPI, vol. 17(21), pages 1-14, October.
    2. Yinggang Wang & Paul Goodrum & Carl Haas & Robert Glover & Sharam Vazari, 2010. "Analysis of the benefits and costs of construction craft training in the United States based on expert perceptions and industry data," Construction Management and Economics, Taylor & Francis Journals, vol. 28(12), pages 1269-1285.
    3. Helen Lingard & Payam Pirzadeh & Nick Blismas & Ron Wakefield & Brian Kleiner, 2014. "Exploring the link between early constructor involvement in project decision-making and the efficacy of health and safety risk control," Construction Management and Economics, Taylor & Francis Journals, vol. 32(9), pages 918-931, September.
    4. Alex Albert & Idris Jeelani & Kevin Han, 2020. "Developing hazard recognition skill among the next-generation of construction professionals," Construction Management and Economics, Taylor & Francis Journals, vol. 38(11), pages 1024-1039, November.
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    Citations

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    Cited by:

    1. Hande Aladağ, 2023. "Assessing the Accuracy of ChatGPT Use for Risk Management in Construction Projects," Sustainability, MDPI, vol. 15(22), pages 1-27, November.
    2. Muhammad Afzal & Rita Yi Man Li & Muhammad Shoaib & Muhammad Faisal Ayyub & Lavinia Chiara Tagliabue & Muhammad Bilal & Habiba Ghafoor & Otilia Manta, 2023. "Delving into the Digital Twin Developments and Applications in the Construction Industry: A PRISMA Approach," Sustainability, MDPI, vol. 15(23), pages 1-37, November.
    3. Zied Bahroun & Chiraz Anane & Vian Ahmed & Andrew Zacca, 2023. "Transforming Education: A Comprehensive Review of Generative Artificial Intelligence in Educational Settings through Bibliometric and Content Analysis," Sustainability, MDPI, vol. 15(17), pages 1-40, August.

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