Formats & Availability
Publication Details
ISBN (EPUB) 978-1-0673450-3-7
ISBN (Paperback) 978-1-0673450-1-3
Key Themes
Trust as Engineering
Moving trust off individual AI models into observable, verifiable systems
Governance Frameworks
Practical approaches that work in real enterprise environments
Human-AI Collaboration
Workflows where AI enhances rather than replaces human judgment
Failure Modes
Recognizing and preventing common pitfalls before they become costly
Description
AI is moving into core business processes faster than most organizations can govern it. Leaders are being asked to trust systems that behave intelligently but fail unpredictably—models making opaque decisions, tools granted silent privileges, and automated workflows drifting out of alignment long before anyone notices.
On Trust and AI explains why these failures happen, how attackers exploit the gaps, and what it takes to build AI that remains observable and controllable at enterprise scale. This is not a book about hype or distant futures—it's a field guide drawn from real operational environments where AI is already embedded in critical systems.
For executives responsible for steering AI adoption, the message is direct: trust must be engineered. The book offers a practical path to deploy AI confidently, maintain oversight as systems evolve, and integrate automation in ways that strengthen human judgment instead of eroding it.