Practical AI Governance

Building a Program for Oversight and Strategy
1. Auflage 2026
ISBN: 978-1-3986-2620-1
Verlag: Kogan Page Ltd

Buch, Englisch, 360 Seiten, Format (B × H): 156 mm x 232 mm, Gewicht: 552 g

Organizations of all sizes are increasing their investment in AI products, tools and developments. However, these transformative technologies come with significant risks and challenges. This actionable guide builds scalable and practical AI governance programs that encourage innovation and minimize risks.

Practical AI Governance will show senior AI, tech and businesses leaders how to design an AI governance program built on proactive engagement, centralized intelligence and adaptive governance, all driven by continuous monitoring. Providing a strategic oversight structure to evaluate and implement AI governance, the book covers the building blocks to creating an AI governance program, the necessary structures and tools for oversight and how to future proof an organization's efforts.

Suitable for any business, this book will demonstrate how to align AI strategies with the needs of multiple stakeholders, the changing regulatory environment, technological trends and an organization's innovation and risk appetite. It explains how to embed AI governance in existing cybersecurity and risk management frameworks and scale AI governance across an organization. Going beyond traditional compliance checklists, it instead offers a logical and holistic approach to governance.

Autoren/Hrsg.

Rosenberg, Shoshana

Weitere Mitwirkende

Polonetsky, Jules

Fachgebiete

• Wirtschaftswissenschaften Betriebswirtschaft Unternehmensorganisation, Corporate Responsibility Unternehmensethik
• Wirtschaftswissenschaften Betriebswirtschaft Unternehmensorganisation, Corporate Responsibility Unternehmenskultur, Corporate Governance
• Wirtschaftswissenschaften Betriebswirtschaft Management Unternehmensorganisation & Entwicklungsstrategien
• Mathematik | Informatik EDV | Informatik Daten / Datenbanken
• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz Wissensbasierte Systeme, Expertensysteme
• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz Maschinelles Lernen

Inhaltsverzeichnis

Chapter - 0: Foreword by Jules Polonetsky Chapter - 00: Introduction; Section - ONE: Foundations of holistic AI governance; Chapter - 01: Redefining AI governance; Chapter - 02: The structural conditions; Chapter - 03: The architecture of governance; Chapter - 04: The condition for governance; Chapter - 05: Strategy and oversight; Chapter - 06: What only AI governance can see; Chapter - 07: Proactive engagement - ensuring AI governance reflects operational reality; Chapter - 08: Business intelligence as the key to adaptive governance Section - TWO: PRISM: Grounding the practice of AI governance; Chapter - 09: Principles; Chapter - 10: Responsibility - four domains; Chapter - 11: Operationalizing responsibility; Chapter - 12: Intelligence; Chapter - 13: Security; Chapter - 14: Monitoring; Chapter - 15: Conclusion: Governance in motion

Über Autor(innen)

Rosenberg, Shoshana
Shoshana Rosenberg is an attorney, technologist, and C-level executive who has spent more than two decades working at the intersection of technology risk, regulatory exposure, and strategic uncertainty, building and advising on the legal, technology, and governance programs that complex global organizations, regional firms, and business line leadership require to remain oriented as conditions change. A former US Navy engineer with a background in international development, she is co-founder of Women in AI Governance, founder of SafePorter, advisor to the Institute of Operational Privacy Design, and Strategic Programs Advisor to Logical AI Governance, where she built leadership and practitioner training and certification programs. She is based in New York, NY.