AI-Driven Risk Management Optimization for Economic Resilience and Crisis Recovery
This chapter looks at how AI techniques including ML, DL, NLP and RL can be used in many fields, such as finance, operations, cybersecurity, and healthcare. It shows how AI makes predictive analytics better, speeds up decision-making, and makes dynamic response systems better while also cutting down on human mistakes and bias. It also talks about ethical and governance issues like accountability, privacy, and openness. The chapter ends by stressing how important it is to have explainable and sustainable AI systems in order to build risk management frameworks that are optimised, data-driven, and robust. AI has become a game-changer for improving how businesses find, evaluate, and reduce risks. The business world is getting more complicated, so we need smart risk management tools that can deal with the unexpected.