AI and ML Governance in Financial Services

Balancing Innovation, Risk, and Equity
1. Auflage 2026
ISBN: 978-1-041-17457-8
Verlag: Taylor & Francis

Buch, Englisch, 240 Seiten, Format (B × H): 178 mm x 254 mm

The financial sector is at a pivotal juncture, grappling with unprecedented AI integration alongside mounting regulatory scrutiny.

Despite the abundance of technical resources, there remains a significant gap in accessible governance models tailored to the financial context. This book fills that void, providing practical guidelines and frameworks that align technological innovation with legal, ethical, and societal considerations. Governing AI and ML in Financial Services presents a comprehensive governance blueprint tailored specifically for financial institutions navigating the rapid evolution of Artificial Intelligence (AI) and Machine Learning (ML). As AI-driven tools become integral to decision-making, risk management, and customer engagement, the need for effective, ethical, and compliant governance frameworks has never been greater.

This book aims to empower financial leaders, compliance officers, data scientists, academia, and regulators to implement responsible AI practices that foster innovation while safeguarding against risks and promoting equity.

Zielgruppe

Professional Practice & Development

Autoren/Hrsg.

Young, Richard Gwashy

Fachgebiete

• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz
• Mathematik | Informatik EDV | Informatik Business Application Unternehmenssoftware
• Wirtschaftswissenschaften Betriebswirtschaft Unternehmensorganisation, Corporate Responsibility Unternehmenskultur, Corporate Governance
• Wirtschaftswissenschaften Finanzsektor & Finanzdienstleistungen Finanzsektor & Finanzdienstleistungen: Allgemeines
• Wirtschaftswissenschaften Betriebswirtschaft Bereichsspezifisches Management Management: Führung & Motivation

Inhaltsverzeichnis

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.

Über Autor(innen)

Dr. Young is a seasoned cybersecurity leader and practitioner with over 30 years of experience in the financial services industry. Serving as an adjunct professor and Cybersecurity Program Chair, he has made significant contributions to academia, leading the development of innovative curricula that bridge the gap between theoretical knowledge and practical application. His teaching expertise includes Cybersecurity, IT Risk, and Leadership, where he has mentored numerous graduate students and future leaders in navigating complex cybersecurity challenges.

Currently, Dr. Young serves as the Head of Global Operations Tech Risk & Platforms Engineering at Citibank, in New York city where he spearheads technical product ownership and risk management strategies across regions. His previous roles as Chief Information Security Officer at Barclays and Deutsche Bank have equipped him with extensive expertise in establishing and maintaining enterprise strategies to protect information assets. Dr. Young is recognized for delivering operational excellence, implementing regulatory reforms, and fostering collaborative relationships across global financial institutions.

In addition to his extensive professional experience, Dr. Young holds a Ph.D. in Leadership with a focus on the Management of Information Systems and is pursuing an Ed.D. in Educational Leadership. He is the author of three influential books, including “The 2nd Coming: The Recolonization of Africa by the East,” “Cybersecurity – A Handbook for Boards and C-Suite”, and “Leadership Practices for Optimizing Performance and Job Satisfaction in the Financial Industry.” Dr. Young’s insights and thought leadership have made him a prominent figure in bridging technology and cybersecurity, preparing organizations for the future challenges of the digital landscape.