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Large Language Models in Fire Engineering: An Examination of Technical Questions Against Domain Knowledge

2024/03/04 by Haley Hostetter, Hostetter, Haley, M.Z. Naser +5 · 1 citation
Decision Sciences · Engineering · Health Professions · #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences #Fire Detection and Safety Systems #Machine Learning (cs.LG) #Occupational Health and Safety Research #Risk and Safety Analysis

paper · pdf · doi:10.48550/arxiv.2403.04795

openalex publication_date 2024/03/04 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28

Abstract

This communication presents preliminary findings from comparing two recent chatbots, OpenAI's ChatGPT and Google's Bard, in the context of fire engineering by evaluating their responses in handling fire safety related queries. A diverse range of fire engineering questions and scenarios were created and examined, including structural fire design, fire prevention strategies, evacuation, building code compliance, and fire suppression systems (some of which resemble those commonly present in the Fire Protection exam (FPE)). The results reveal some key differences in the performance of the chatbots, with ChatGPT demonstrating a relatively superior performance. Then, this communication highlights the potential for chatbot technology to revolutionize fire engineering practices by providing instant access to critical information while outlining areas for further improvement and research. Evidently, and when it matures, this technology will likely be elemental to our engineers' practice and education.

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