<![CDATA[This literature review explores the role of artificial intelligence (AI) in disaster management, focusing on its applications and challenges. Disaster management includes mitigation, preparedness, response, and recovery steps. AI technologies can enhance these steps, leading to better disaster management. In the mitigation phase, AI can forecast hazards, assess risks, and strengthen infrastructure resilience. In the preparedness phase, AI-powered Early Warning Systems (EWS) provide timely alerts and notifications, enabling proactive measures to minimize the impact of disasters. During disaster response, AI supports event mapping and damage assessment for effective decision-making. In the recovery phase, AI facilitates impact assessment, resource allocation, and the development of post-event recovery plans. The review also presents a case study on the application of AI in flood management in Saudi Arabia, emphasizing the need for advanced technologies in flood prevention, early warning systems, and response strategies. However, challenges such as data availability, data incompleteness, data quality, and the lack of policies and databases in certain regions, including Saudi Arabia, hinder the effective implementation of AI in disaster management. Further research and development efforts are necessary to harness the full potential of AI in disaster management.]]>
Copyrights © 2025
