The Role of AI in Disaster Management and Mitigation

Abstract

Artificial Intelligence (AI) has emerged as a transformative technological force in disaster management and mitigation by enhancing predictive capabilities, improving emergency response systems, and strengthening resilience against natural and human-induced disasters. The increasing frequency and intensity of disasters caused by climate change, urbanization, industrialization, and environmental degradation have necessitated the integration of advanced digital technologies into disaster governance frameworks. This study examines the role of AI in disaster management and mitigation through an analytical review of contemporary technologies, global practices, and emerging policy frameworks. The article explores how machine learning, deep learning, predictive analytics, Geographic Information Systems (GIS), remote sensing, robotics, drones, Internet of Things (IoT), and big data analytics contribute to disaster prevention, preparedness, response, recovery, and rehabilitation. The research also evaluates the role of AI in flood prediction, wildfire detection, earthquake monitoring, healthcare emergencies, and climate resilience. Special emphasis is placed on AI-driven disaster management initiatives in India and international best practices adopted by organizations such as the United Nations Office for Disaster Risk Reduction (UNDRR) and the National Disaster Management Authority (NDMA). The study identifies major opportunities offered by AI, including faster decision-making, enhanced situational awareness, efficient resource allocation, and reduction of human casualties. However, it also critically discusses challenges related to ethical governance, algorithmic bias, cybersecurity, data privacy, infrastructural limitations, and digital inequality. The article concludes that responsible and inclusive implementation of AI can significantly improve disaster mitigation strategies and strengthen sustainable disaster governance systems globally.