The Applications of Large Language Models in Emergency Management
Yue Jiang · 2024
The multifaceted applications of large language models (LLMs) are explored in this papper, particularly GPT-3.5, in the realm of emergency management. Focusing on five key directions, namely real-time information processing, natural language understanding for communication, risk assessment and prediction, community engagement and education, and decision support systems, the paper highlights how these models can significantly enhance the capabilities of emergency responders and authorities. By leveraging advanced natural language processing and contextual analysis, LLMs prove instrumental in rapidly processing information, improving communication strategies, predicting risks, engaging communities, and providing decision support during emergencies. The integration of these models into emergency management frameworks not only optimizes response efforts but also contributes to the development of proactive strategies that enhance community resilience. This exploration underscores the transformative potential of LLMs in shaping the future landscape of emergency preparedness and response.