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ISBN: 9798881800833
Published: April 30, 2026
Format: Hardback
Language: English
Publisher: Bloomsbury Academic
Artificial intelligence is reshaping how organizations operate, compete, and manage risk — but without proper governance, the same technology that drives value can expose institutions to legal, reputational, and operational harm. The AI Governance Playbook provides a clear, actionable framework for executives, compliance officers, and AI practitioners to implement effective AI governance initiatives that harness the power of AI while controlling its risks.
Unlike other AI governance approaches, this book is grounded in the proven principles and best practices of Information Governance (IG) — a discipline with decades of application in Fortune 500 companies, AmLaw100 law firms, and major governmental agencies. The methodology has been tested in the field for over two years before this publication, making it immediately applicable rather than merely theoretical.
AI governance frameworks · Information governance foundations · AI risk identification and management · Cybersecurity for AI systems · Privacy and data protection · Regulatory compliance (EU AI Act, NIST AI RMF) · AI ethics and accountability · Organizational roles and responsibilities · AI auditing and monitoring · Optimizing AI initiatives for business value
Robert F. Smallwood, MBA, CIGO, CIGO/AI, IGP, is the world's leading author, researcher, and trainer in information governance, with eight published books on IG topics. His seminal textbook Information Governance is used at Oxford, the University of Michigan, and San José State University, among others. He advises Fortune 500 companies and government agencies on IG and AI governance programmes.
Chris Surdak, JD, is a leader in digital transformation and an expert in artificial intelligence and transformation forensics. He has extensive experience guiding organizations through AI-driven change and is recognized as a practitioner-first voice in AI governance.
With the EU AI Act now in force and the NIST AI Risk Management Framework gaining traction globally, every organization deploying AI faces growing compliance obligations. Yet most AI governance frameworks lack practical implementation guidance. This Playbook fills that gap — offering a methodology that has already been deployed in real institutions, not just debated in academic circles. For financial institutions, law firms, investment managers, and professional services organizations where AI is accelerating decision-making, risk oversight of those systems is no longer optional. This book is the practitioner's guide to getting it right.
AI governance, artificial intelligence governance, information governance, AI risk management, AI compliance, EU AI Act, NIST AI RMF, AI ethics, AI cybersecurity, AI policy, AI regulation, responsible AI, AI strategy, Robert Smallwood, Chris Surdak, Bloomsbury Academic, AI framework, corporate AI governance
Chief Information Officers, Chief Compliance Officers, Chief Risk Officers, General Counsel, AI programme managers, information governance professionals, financial regulators, law firm partners, university libraries, business school libraries, corporate legal departments, fintech compliance teams
Artificial intelligence, Information governance, Corporate compliance, Risk management, Business technology, Professional reference
Q: What is the AI Governance Playbook about?
A: The AI Governance Playbook by Smallwood and Surdak (Bloomsbury Academic, 2026) provides a practical framework for implementing AI governance in organizations, grounded in Information Governance principles. It covers risk management, cybersecurity, privacy, regulatory compliance, and how to optimize AI initiatives while controlling potential harms.
Q: How does AI governance differ from information governance?
A: Information governance (IG) is the broader discipline governing how organizations manage, protect, and use all information assets. AI governance is a specialized application of IG principles to AI systems — addressing the unique risks of autonomous decision-making, algorithmic bias, and AI-specific regulatory requirements. The Playbook argues you cannot have sound AI governance without IG foundations.
Q: What regulations does AI governance need to address in 2026?
A: The primary frameworks are the EU AI Act (in force 2024–2026 phased rollout), the NIST AI Risk Management Framework (USA), and sector-specific rules for financial services (e.g., EBA guidelines on AI in banking). Organizations also face GDPR implications for AI-processed personal data and emerging national AI laws across Asia-Pacific.
Q: Who should read the AI Governance Playbook?
A: The book is written for executives and practitioners responsible for AI governance: CIOs, CCOs, General Counsel, compliance officers, risk managers, and AI programme leads. It is also used in graduate programmes in business, law, and information management.
Q: What makes this AI governance framework different from others?
A: Unlike frameworks that start from AI theory, Smallwood and Surdak build their methodology on decades of Information Governance best practices already tested in Fortune 500 companies, AmLaw100 law firms, and government agencies. The framework has been in active use for over two years prior to publication, making it uniquely practice-tested.
Q: Where can I buy the AI Governance Playbook by Robert Smallwood and Chris Surdak with international shipping?
A: CLNZ Books offers the AI Governance Playbook: How to Secure, Control, and Optimize Artificial Intelligence Initiatives (Bloomsbury Academic, 2026) by Robert F. Smallwood and Chris Surdak with international shipping via international couriers included in the price. Orders are delivered to addresses worldwide, with no additional shipping charges at checkout.
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