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Artificial Intelligence Governance: A Boardroom Blueprint
Paperback
Business GeneralComputer Security
ISBN13: 9781624220746
Publisher: Fontlife Publication, A, LLC
Published: Jul 19 2026
Pages: 576
Weight: 1.68
Height: 1.17 Width: 6.00 Depth: 9.00
Language: English
Artificial intelligence is transforming every industry.
It is writing reports, analyzing contracts, reviewing financial data, detecting fraud, assisting physicians, developing software, managing customer interactions, and increasingly making decisions that directly affect organizations, employees, and customers.
Yet amid the excitement surrounding AI, one critical question is often overlooked:
Who is governing it?
Most books about artificial intelligence focus on technology. They explain models, algorithms, prompting techniques, and implementation strategies.
This book focuses on leadership.
Artificial Intelligence Governance: A Boardroom Blueprint is a practical guide for Boards of Directors, CEOs, CIOs, CISOs, Chief Risk Officers, General Counsel, auditors, governance professionals, and business leaders responsible for ensuring that artificial intelligence is deployed responsibly, ethically, and accountably.
As AI becomes embedded across the enterprise, organizations face a new reality: AI is no longer an innovation project-it is an enterprise governance issue. The challenge is no longer whether organizations should adopt artificial intelligence, but how they will govern it.
In this comprehensive guide, veteran technology executive and governance author Victor M. Font Jr. presents a practical framework for establishing AI governance before regulators, auditors, insurers, shareholders, or courts ask difficult questions.
Inside you'll learn how to:
- Define Board and executive responsibilities for AI oversight.
- Establish clear accountability for AI-enabled decisions.
- Govern autonomous agents and AI-assisted business processes.
- Develop effective AI governance policies and decision rights.
- Manage risks such as hallucinations, bias, prompt injection, model drift, data leakage, deepfakes, and AI-generated fraud.
- Govern third-party AI vendors and cloud-based AI platforms.
- Build AI literacy across the enterprise.
- Integrate AI into enterprise risk management.
- Create meaningful audit trails and governance documentation.
- Prepare for regulatory scrutiny and independent assurance.
- Build governance that naturally produces defensible evidence.
Central to the book is the AI Governance Maturity Model(TM), a practical five-level framework that enables organizations to evaluate their current governance capabilities and establish a roadmap toward mature, evidence-driven oversight. The five . maturity levels are:
- Experimental
- Controlled
- Governed
- Assured
- Evidence-Driven
Unlike traditional maturity models that emphasize technology, this framework measures organizational leadership, accountability, oversight, and the quality of governance evidence.
Throughout the book, Victor introduces a simple but powerful principle:
Organizations will increasingly be judged not only by the sophistication of their artificial intelligence, but by the evidence demonstrating that it was governed responsibly.
Artificial intelligence can automate work.
It can accelerate decision-making.
It can recommend actions.
It can even operate autonomously within defined boundaries.
But it cannot accept fiduciary responsibility.
It cannot answer regulators.
It cannot explain decisions to shareholders.
It cannot appear before a Board of Directors.
Leadership remains human.
Governance remains human.
Accountability remains human.
Whether your organization is beginning its AI journey or refining a mature governance program, Artificial Intelligence Governance: A Boardroom Blueprint provides the strategic framework needed to govern AI with clarity, accountability, and defensibility.
Technology will continue evolving.
The principles of good governance will endure.
This book p
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