The adoption of AI in disaster management is expected to significantly reduce the loss of lives and livelihoods in disaster-prone areas. Vulnerable communities, particularly in remote regions, stand to benefit from improved early warning systems and targeted evacuation plans. However, challenges such as incomplete datasets, high costs, and privacy concerns could limit the effectiveness of AI-based solutions. Additionally, over-reliance on AI without human oversight may lead to errors, such as false alarms or missed hazards, underscoring the need for a balanced approach.