The Rise of AI and Risk Management

In today’s business landscape, embedding artificial intelligence (AI) into risk management is being done as a strategic measure for companies to improve their operational performance and resilience. This chapter will go into the applications, advantages, and challenges of AI risk management. Miglior risk mitigation through more accurate and proactive AI of supply chain optimization, cybersecurity, natural language processing (NLP), and predictive analytics. However, there is some large trouble getting data quality, getting out of the model, ethical considerations, and regulatory compliance to work effectively with AI in risk management. This chapter, in addition, covers different AI risk management frameworks, e.g., the NIST AI Risk Management Framework (AI RMF) and the EU AI Act, that generate a structured way for keeping hold of risks, once they talk about the full AI lifecycle. Using reallife case studies and grounded practical advice, this chapter intends to deliver to the reader a full grasp of how AI is transforming risk management and what needs to be done in order to reap the benefits. As AI progresses, its role in risk management will surely extend, giving new chances for development and further enhancing valuable business quality in an ever more complex and versatile business environment.