About this book:

*AI Ethics for Managers* provides a practical roadmap for organizational leaders to move from abstract ethical principles to operational reality. The book emphasizes that ethical AI is not merely a compliance burden but a strategic risk management tool and a driver of long-term value. By focusing on core pillars—fairness, accountability, transparency, and human-centeredness—managers can build systems that foster trust, reduce legal liability, and mitigate risks such as algorithmic bias, privacy breaches, and "black box" opacity.

The text introduces several actionable frameworks for embedding ethics throughout the product lifecycle. Managers are guided through the creation of cross-functional governance models, the implementation of 90-day roadmaps, and the development of enforceable standards. Detailed chapters cover the technical and social nuances of data provenance, explainability strategies, and the unique challenges posed by generative AI. It stresses that ethical outcomes depend on "human-in-the-loop" oversight, ensuring that automated decisions remain contestable and aligned with human agency.

Beyond technical fixes, the book highlights the necessity of cultural change. It provides guidance on internal communications, psychological safety, and the alignment of incentives to reward responsible innovation. By integrating ethics into hiring, onboarding, and performance reviews, leaders can cultivate a workforce that is ethically competent and proactively identifies risks. This cultural foundation is supported by rigorous monitoring, incident response protocols, and independent audits to ensure continuous learning and accountability.

Finally, the book addresses the complexities of a globalized AI landscape. It explores how to navigate diverse regulatory frameworks like the EU AI Act while respecting cross-cultural interpretations of fairness and privacy. By managing third-party risks in the supply chain and engaging transparently with customers and regulators, managers can future-proof their organizations. Ultimately, the book positions ethical AI as a durable capability that enables businesses to innovate safely while safeguarding their reputation and societal impact.