This presentation explores the role of generative artificial intelligence (AI) and multimodal learning in enhancing public emergency systems. By integrating data from diverse sources such as text, images, audio, and sensor inputs, multimodal learning enables more accurate and timely analysis of emergency situations. Generative AI can support rapid scenario simulation, predictive modeling, and automated communication with the public, thereby improving crisis preparedness and response. The study emphasizes how these technologies can strengthen decision-making, optimize resource allocation, and build more resilient emergency infrastructures while addressing challenges related to ethics, reliability, and trust.
