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Leveraging AI automated emergency response with natural language processing: Enhancing real-time decision making and communication
- 1 University of Technology Sydney, Sydney, Australia.
* Author to whom correspondence should be addressed.
Abstract
Artificial Intelligence (AI) and Natural Language Processing (NLP) technologies play an essential role in the ongoing development and advancements of emergency response systems. This paper explores the new opportunities and possibilities offered by the incorporation of AI-driven automated emergency response systems, and the benefits of using NLP to increase the efficiency of human language processing and communication in real time. Using case studies and applications, we analyse how integrating AI and NLP technologies can reduce response times, improve situational awareness and coordination between emergency services. We then explore how AI-driven models can be used to predict natural disasters, optimise emergency vehicle routes and identify areas of need in real time through the analysis of social media and emergency communications via NLP. However, we also discuss the issues that come with implementing these technologies, such as data-privacy challenges, technical limitations and the need for sustained retraining of AI systems. The conclusions of this research indicate that continued collaboration between stakeholders is necessary to overcome these barriers, and that substantial innovation is needed to maximise the potential of AI and NLP technologies in emergency management.
Keywords
AI, Automated Emergency Response, Natural Language Processing, Real-Time Decision Making, Communication.
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Cite this article
Li,Z. (2024). Leveraging AI automated emergency response with natural language processing: Enhancing real-time decision making and communication. Applied and Computational Engineering,71,1-6.
Data availability
The datasets used and/or analyzed during the current study will be available from the authors upon reasonable request.
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Volume title: Proceedings of the 6th International Conference on Computing and Data Science
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