AI-Driven Decision-Making in Finance

About the Book

AI is changing how financial institutions analyse data, assess risk, make investment decisions and govern increasingly complex systems. AI-Driven Decision-Making in Finance explores these developments through practical case studies and expert analysis, with particular attention to the real-world application of AI in finance.

The book examines topics including AI in central banking, forecasting, data governance, robo-advisory, credit scoring, investment decision-making, ethical AI, risk management and digital currencies. It also addresses the regulatory, ethical, security and moral challenges surrounding the use of AI in financial decision-making, helping readers understand both the opportunities and the governance implications of adoption.

Key Highlights:

• Explores practical applications of AI and digital transformation across finance.

• Covers central banking, investment, credit scoring, risk management, data governance and digital currencies.

• Examines ethical, regulatory and security challenges associated with AI adoption.

• Provides real-world case studies and actionable insights for finance professionals, academics and practitioners.

About the Editor

Dr Bilal Bagis is an economist, instructor, strategist, columnist and consultant with experience across academia and the private sector. He has taught economics, mathematics and finance at universities including UC Berkeley and leading institutions in Türkiye.

His research and professional interests focus particularly on macroeconomic and financial stability and the effectiveness of policymaking.