A Practical Guide to Building AI Systems That Deserve Trust
Artificial intelligence systems are no longer experimental. They approve loans, screen job candidates, detect fraud, monitor security, 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, sponsors, and project managers who must ensure AI systems not only function-but deserve trust.
Moving beyond high-level ethical principles, this book introduces a structured governance framework built on five pillars: Governance, Stakeholder Inclusion, Data Responsibility, Transparency and Explainability, and Long-Term Oversight.
Through real-world case analysis-including major AI failures-this book shows how ethical risk emerges, how accountability erodes under delivery pressure, and how organizations can embed moral responsibility directly into project structures.
AI projects are not just technical exercises.
They are moral acts.
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Gloria J. Miller, DBA, is an international expert in AI governance, stakeholder accountability, and complex IT transformation. With over two decades leading large-scale digital initiatives across industries, she developed this framework to give practitioners governance tools traditional project models do not provide.An IEEE Computer Science Distinguished Contributor, PMP(R), and award-winning researcher, she bridges executive practice, governance leadership, and applied research.
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Paperback. Condition: new. Paperback. A Practical Guide to Building AI Systems That Deserve TrustArtificial intelligence systems are no longer experimental. They approve loans, screen job candidates, detect fraud, monitor security, 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, sponsors, and project managers who must ensure AI systems not only function-but deserve trust.Moving beyond high-level ethical principles, this book introduces a structured governance framework built on five pillars: Governance, Stakeholder Inclusion, Data Responsibility, Transparency and Explainability, and Long-Term Oversight.Through real-world case analysis-including major AI failures-this book shows how ethical risk emerges, how accountability erodes under delivery pressure, and how organizations can embed moral responsibility directly into project structures.AI projects are not just technical exercises.They are moral acts. A practical governance framework for leaders and project managers who must ensure AI systems are not only functional but ethically accountable - built on five pillars and grounded in real-world case analysis. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. Seller Inventory # 9798995209591
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Quantity: Over 20 available