Artificial intelligence systems are no longer experimental. They approve loans, screen job candidates, detect fraud, and influence healthcare decisions. Yet most AI systems are not built in research labs — they are built in projects.
And projects make choices.
Moral Artificial Intelligence Projects is a practical guide for leaders, project managers, sponsors, and governance professionals who must ensure that AI systems not only function, but deserve trust.
This book introduces a structured governance framework built on five pillars: Governance, Stakeholder Inclusion, Data Responsibility, Transparency and Explainability, and Long-Term Oversight. Each pillar translates ethical intent into operational controls that project teams can apply directly.
Through five real-world cases — including a pharmacy banned by the FTC for facial recognition failures and attorneys sanctioned for submitting AI-fabricated court citations — the book shows how ethical risk emerges, how accountability erodes under delivery pressure, and what governance structures could have prevented each failure.
AI projects are not just technical exercises.
They are moral acts.
This book provides the discipline to lead them responsibly.
