Disaster Risk Management, Humanitarian Response, and Resilience in the AI Era

As disasters grow in scale, frequency, and complexity, effective risk management and humanitarian response require innovative strategies that enhance preparedness, support rapid decision-making, and strengthen community resilience. Artificial intelligence (AI) offers significant potential to improve disaster risk reduction through advanced forecasting, real-time data analysis, early warning systems, resource coordination, and the identification of vulnerable populations before, during, and after crises. These capabilities can help organizations respond more efficiently, allocate resources more effectively, and reduce the human and economic impacts of disasters. At the same time, the integration of AI into humanitarian operations raises important considerations related to ethics, transparency, accountability, data privacy, and equitable access to technology. Understanding both the opportunities and challenges of AI-driven disaster management is essential for developing responsible, inclusive, and resilient approaches to addressing emerging environmental, technological, and humanitarian risks. Disaster Risk Management, Humanitarian Response, and Resilience in the AI Era explores how AI is transforming disaster preparedness, risk assessment, emergency response, and recovery through enhanced prediction, real-time intelligence, data-driven decision-making, and improved resource coordination. It examines the ethical, social, and operational implications of implementing AI in humanitarian settings while highlighting strategies that promote equity, sustainability, and community resilience. Covering topics such as 3D search-and-rescue decision support, machine learning, and sustainable tourism, this book is a valuable resource for engineers, emergency management professionals, government officials, sociologists, policymakers, researchers, scientists, and practitioners seeking to leverage AI to build safer, more resilient communities.