AI Assurance 1st Edition

Grab attention with a clear, authoritative guide to trustworthy AI: AI Assurance, 1st Edition by Feras Batarseh and Laura Freeman is the practical roadmap organizations need to manage risk, governance, and compliance across the AI lifecycle.

This book dives into proven methods for validating models, assessing ethical and legal impacts, and building robust monitoring and audit practices. Readable yet rigorous, it covers model validation, explainability, dataset governance, risk assessment, performance metrics, and operational controls—framed for real-world application in finance, healthcare, government, and tech. Authors Batarseh and Freeman combine technical insight with governance expertise to make complex topics accessible for both technical teams and executive leaders.

Designed for practitioners worldwide—including teams in North America, Europe, the UK, Australia, and Asia—this edition equips auditors, data scientists, compliance officers, and C-suite decision-makers with frameworks and checklists to reduce AI-related risk and improve stakeholder trust. Practical examples and governance templates help you translate principles into policy, audit readiness, and ongoing assurance processes.

If your organization must meet regulatory expectations, demonstrate model integrity, or scale trustworthy AI responsibly, this book is an essential resource. Clear, actionable, and up-to-date, AI Assurance, 1st Edition bridges the gap between AI development and accountable deployment.

Order your copy today to strengthen your AI governance and embed assurance into every stage of the model lifecycle.

Note: eBooks do not include supplementary materials such as CDs, access codes, etc.