AI and Generative AI are being utilized for disaster management to efficiently assess damage intensity and response techniques.
AI and GenAI combine knowledge from various data sources to simulate disaster scenarios and identify emerging trends rapidly.
The paper discusses the strengths and limitations of AI and GenAI in damage assessment for natural disasters, including their applications to multimodal data.
Future research should focus on developing secure, reliable, and ethical Generative AI systems for effective disaster management.