AI reshapes the financial sector, expanding opportunity and redefining risk. From algorithmic trading and credit scoring to fraud detection and personalized financial services, AI-driven systems transform how markets operate and make decisions. This acceleration brings new vulnerabilities, including bias, cybersecurity threats, and the potential for failures across markets. Regulators face the challenge of fostering innovation while ensuring stability, transparency, and consumer protection. The convergence of AI, risk management, and regulatory frameworks drives a broader market transformation in which trust, accountability, and technological governance become central to intelligent financial systems. AI, Risk, Regulation, and Market Transformation in Intelligent Finance explores how AI transforms financial systems by reshaping risk management, decision-making processes, and market structures. It examines the regulatory challenges and responses needed to address emerging risks while ensuring innovation, stability, and accountability in intelligent finance. This book covers topics such as fraud detection, stock markets, and financial literacy, and is a useful resource for business owners, policymakers, engineers, academicians, researchers, and scientists.
