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Overview of book structure and key themes. Chapter 1: Introduction ? The Governance Imperative. Chapter 2: Frameworks for Governing AI and ML. Chapter 3: AI-Enabled Threat Actors and Systemic Risk. Chapter 4: Algorithmic Bias and Financial Discrimination. Chapter 5: Model Risk Management (MRM) and Validation. Chapter 6: Data Privacy, Consent, and Consumer Protections. Chapter 7: AI Ethics and Internal Oversight Structures. Chapter 8: Navigating the Regulatory Landscape. Chapter 9: Designing Trustworthy AI Systems. Chapter 10: Future Outlook and Case Studies. |