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This article examines the integration of Artificial Intelligence (AI) in fire investigation, highlighting its potential to enhance investigative practices while emphasizing caution. AI tools, such as Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG), can assist in data analysis, hypothesis generation, and real-time monitoring, improving the accuracy and efficiency of fire investigations. However, adopting AI raises ethical concerns, including transparency, accuracy, and potential biases.
This article examines the integration of Artificial Intelligence (AI) in fire investigation, highlighting its potential to enhance investigative practices while emphasizing caution. AI tools, such as Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG), can assist in data analysis, hypothesis generation, and real-time monitoring, improving the accuracy and efficiency of fire investigations. However, adopting AI raises ethical concerns, including transparency, accuracy, and potential biases.