In today's complex and uncertain world, crises such as pandemics, financial crashes, climate shocks, and cyber-attacks are becoming more frequent, interconnected, and harder to predict. Traditional crisis management, based on linear human judgment, cannot keep pace with fast-moving, data-intensive emergencies. AI and ML offer new capabilities to forecast, prevent, and manage crises through early-warning systems, real-time analytics, and adaptive learning. This chapter examines how AI/ML improve prediction, disaster response, and supply-chain resilience, while addressing key ethical and governance issues. It also outlines a human-AI model for strengthening preparedness, coordinated response, and recovery in global crisis governance.