Revolutionizing Disaster Management with AI-Driven Technology for effective Risk Reduction

Abstract

Disaster management has historically relied on conventional methods that often fail to meet the demands of increasingly complex and frequent disasters.The integration of Artificial Intelligence (AI) into Disaster management offers unprecedented opportunities to predict, prepare for, respond to, and recover from disasters more effectively. This paper explores how AI-driven solutions are revolutionizing disaster risk management, providing a comprehensive analysis of innovative applications, including real-time data analysis, predictive modeling, and automated decision-making. Case studies from around the world highlight the transformative potential of AI, demonstrating significant reductions in disaster-related damages and losses. While AI offers many benefits, it also presents challenges, such as ensuring privacy, transparency and collaboration between humans and machines. Ultimately, AI is leading us into a new era of data-driven decisions in disaster management, improving our ability to respond and build resilience for the future.Learning and adapting to such emerging technologies with same speed and efficacy within existing infrastructure is a great challenge in near future.