The Values of Artificial Intelligence

How Smart Leaders Capture and Connect AI Value to Human Values
1. Auflage 2026
ISBN: 978-1-041-07750-3
Verlag: CRC Press

Buch, Englisch, 320 Seiten, Format (B × H): 178 mm x 254 mm

Technical teams build capabilities but often have no clue about business context. Business leaders demand solutions but rarely understand technical constraints. Data teams control the raw material but sit separately from both. When things go sideways, the finger-pointing begins. This isn't a minor coordination issue; it's a fundamental design flaw in how organizations approach AI. It is also a failure in how to get value from AI.

The Values of Artificial Intelligence: How Smart Leaders Capture and Connect AI Value to Human Values shows how to create genuine shared ownership of AI value – not through some naive reorganization, but through frameworks that make value creation a truly collaborative effort with clear responsibilities that are embraced when things go well and can't be dodged when things get tough. The book is filled with practical frameworks and tools that have been battle-tested across industries and organizations. These aren't academic constructs but working instruments to apply immediately.

The book provides a roadmap to AI values. It focuses on turning potential into proof for leaders, including executives needing to prove without buzzwords AI’s impact, technical leaders trying to translate models into meaning, policymakers and advisors tasked with AI governance and trust, and high-stakes decision-makers who don't have time for fluff. It explains key steps for delivering results:

- Capturing strategic AI opportunities worth pursuing.

- Connecting across silos, functions, and stakeholders.

- Communicating value in a world that's oversaturated with noise.

The book shows how to define and speak AI’s value clearly so that AI becomes something else entirely: a value multiplier.

Zielgruppe

Professional Practice & Development and Professional Reference

Autoren/Hrsg.

Odaro, Edosa

Fachgebiete

• Wirtschaftswissenschaften Betriebswirtschaft Management Strategisches Management
• Wirtschaftswissenschaften Betriebswirtschaft Management Wissensmanagement
• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz

Inhaltsverzeichnis

1. The Multidimensional Values of AI 2. The Data Foundation – Why Data Drives AI Value 3. Spotting Signals of AI Value Failure 4. The Value-First Approach to AI 5. Creating a Cross-Organizational AI Strategy 6. From Pilot to Scale – Building Sustainable AI Value 7. Securing Executive Buy-In and Board Support 8. Building Cross-Functional Support for AI Initiatives 9. Fostering Employee Trust and Adoption 10. Communicating AI's Societal and Ethical Values 11. Measuring What Matters 12. Creating Sustainable AI Value 13. Future-Proofing AI Value 14. The Data-to-Value Integration Blueprint 15. Leading AI Value Creation 16. From Chaos to Clarity - Your AI Value Creation Toolkit 17. Conclusion

Über Autor(innen)

Edosa Odaro stands at the forefront of artificial intelligence and data transformation, helping organizations worldwide turn AI potential into a measurable business impact. As Executive Advisor for Data & AI and former Chief Data Analytics & Privacy Officer, he has guided more than 35 international organizations—including Barclays Group, AXA, Microsoft, and the European Commission—through complex transformations that delivered substantial, sustainable results.

With an academic foundation spanning economics, computer science, business, technology, and innovation, Edosa brings a rare combination of technical depth and strategic vision to the AI field. His work has generated nine-figure efficiency gains and created entirely new business models powered by intelligent interventions.

Recognized as a Financial Times Top 100 Most Influential Leader and a Global 100 Data Activator, Edosa has earned acclaim not just for his technical expertise but for his ability to solve the human challenges that determine AI success or failure. His approach centers on the belief that sustainable AI value emerges from the intersection of technological capability and human understanding