The Values of Artificial Intelligence

THE DESIGN FLAW

Technical teams build capabilities but often lack business context. Business leaders demand solutions but rarely fully understand technical constraints. Data teams control the raw material but are often disconnected from both. And when things go sideways―as they often do―the fingerpointing begins.

This isn’t a minor coordination issue; it’s a fundamental design flaw in how organizations approach artificial intelligence (AI)―and a fundamental failure in how we create, capture, connect, and communicate its value. It is also a failure in our underlying understanding of how to get value from AI.

The Values of Artificial Intelligence shows how to fix this flaw―not through reorganization or the usual buzzwords, but through frameworks that make value creation truly broadly-owned when it succeeds and accountable when it fails.

The tools in these pages are practical, tested, and deeply human―designed to bridge what technology delivers with what people ultimately value.

Edosa Odaro stands at the forefront of AI and data transformation, helping organizations worldwide turn AI potential into a measurable business impact. As Executive Advisor for Data & AI and with a Chief Data Analytics & Privacy Officer background, he has guided more than 35 international organizations―including Barclays Group, AXA, AIG, 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, created entirely new business models powered by intelligent interventions, and improved the quality of countless lives.

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 also for his ability to solve the human challenges that determine whether AI works for us―or works against us. His philosophy is simple but radical: sustainable AI value emerges where technological capability meets human understanding.