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Application of Artificial Intelligence in Disaster Management and Their Challenges

Application of Artificial Intelligence in Disaster Management and Their Challenges
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Author(s): Rishav Chandra (VIT Bhopal University, India)and D. Lakshmi (VIT Bhopal University, India)
Copyright: 2024
Pages: 27
Source title: Internet of Things and AI for Natural Disaster Management and Prediction
Source Author(s)/Editor(s): D. Satishkumar (Nehru Institute of Technology, India)and M. Sivaraja (Nehru Institute of Technology, India)
DOI: 10.4018/979-8-3693-4284-8.ch001

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Abstract

Natural disasters have demolished infrastructures and destroyed livelihoods for a long time, and orthodox disaster management methods have proved to be effective only to a certain extent. Governments and concerned authorities have started integrating artificial intelligence-based systems into traditional frameworks, as they have proved to be effective in multiple domains before. This chapter reviews some of the major approaches and models that have been developed and published in recent times, where artificial intelligence techniques have been used to facilitate disaster management in every stage, namely, mitigation, preparedness, response, and recovery. Most of the papers discussed have even been implemented in real crises and have proven to be effective. Further, some of the most prominent tools and platforms have also been discussed in this chapter, which leverage the power of artificial intelligence to provide disaster management services depending on their specific use cases and parameters.

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