The Utilization of Artificial Intelligence in Financial Risk Management

This study investigates the innovative mechanisms and practical pathways through which artificial intelligence technology can facilitate a paradigm shift in financial risk management. Given the limitations of traditional risk management methods, such as inadequate model sensitivity and delayed forward-looking capabilities in nonlinear market environments, this research proposes an intelligent risk control framework that integrates deep learning techniques. Employing a mixed-methods approach, we selected licensed financial institutions across banking, securities, insurance, and other sectors as our research sample. By integrating structured financial data with unstructured public opinion information, we have constructed a multi-dimensional risk feature database.