Navigating the Crescendo of Challenges in Harnessing Artificial Intelligence for Disaster Management

Abstract

Global warming worsens natural disasters and humanitarian issues. Disaster prediction relies on satellites and weather stations. AI may help catastrophe management. AI reduces disaster risk in many ways. Early warning systems, weather forecasts, disaster recovery, and reconstruction improve. AI could help us predict, prepare, and recover from natural calamities. These technologies provide climate change mitigation and community protection hope. They propose a better future amid climate change catastrophes. DRR is aggressively adopting AI, notably ML. This field encompasses severe event prediction, hazard mapping, real-time detection, situational awareness, decision assistance, and more. Growing usage of AI in disaster management raises questions about its benefits. We face what issues? How can these difficulties be resolved and opportunities maximised? What can AI tell policymakers, stakeholders, and the public to reduce disasters? The chapter introduces catastrophe management AI, AI implementation issues, and solutions to make the world more peaceful will be addressed.