Explainable AI for Real-Time Disaster Preparedness and Response in the USA

The frequency and magnitude of disasters striking the United States continue to raise the need for efficient disaster preparedness and response mechanisms. AI has become a transformative tool that helps extend the envelope of prediction, planning, and real-time response in disaster management. However, various challenges arise about transparency and trust in adopting AI for disaster management. Explainable AI is an enabling technique that provides understandable and interpretable insights. This research paper attempts to analyze the integration of real XAI into disaster preparedness in near real-time in the USA and shows us its applications, challenges, and potential. Special interest applies to critical situations in emphasizing stakes in explainability to support these core rationales needed to build trust, keep ethical deployment, and improve operational efficacy.