Practical AI Governance : Building a Program for Oversight and Strategy

個数：

予約

Practical AI Governance : Building a Program for Oversight and Strategy

Rosenberg, Shoshana

ウェブストア価格 ¥29,998（本体¥27,271）
Kogan Page Ltd（2026/05発売）
外貨定価 US$ 134.00
ポイント 272pt

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製本 Hardcover:ハードカバー版／ページ数 296 p.
言語 ENG
商品コード 9781398626225

Full Description

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.

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