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