Practical AI Governance
Kogan Page Ltd (Verlag)
978-1-3986-2620-1 (ISBN)
- Noch nicht erschienen (ca. Mai 2026)
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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.
Shoshana Rosenberg is an experienced AI governance thought leader and practitioner. She is the Chief AI Governance and Privacy Officer at WSP USA. She is the co-founder of the organization Women in AI Governance which works to advance equity in AI policy and leadership and is the founder of SafePorter, an award-winning SaaS data minimization solution. Shoshana Rosenberg is an advisor to the Institute of Operational Privacy by Design and is based in New York, NY.
Chapter - 00: Introduction;
Section - ONE: Foundations of holistic AI governance;
Chapter - 01: Redefining AI governance;
Chapter - 02: The structure 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
| Erscheint lt. Verlag | 3.5.2026 |
|---|---|
| Verlagsort | London |
| Sprache | englisch |
| Maße | 156 x 234 mm |
| Gewicht | 666 g |
| Themenwelt | Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik |
| Wirtschaft ► Betriebswirtschaft / Management ► Unternehmensführung / Management | |
| ISBN-10 | 1-3986-2620-1 / 1398626201 |
| ISBN-13 | 978-1-3986-2620-1 / 9781398626201 |
| Zustand | Neuware |
| Informationen gemäß Produktsicherheitsverordnung (GPSR) | |
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