David M. Barnes, PhD (Brigadier General, US Army, Ret.)
Founder & CEO, Empowering AI | Board & C-Suite Advisor | Author, Boots on the Ground AI | Forbes Top 15 AI Ethics Leader
Author of Boots on the Ground AI (forthcoming), the definitive guide to leading AI execution at scale.
Dave spent three decades leading large organizations through high-stakes technology transformations. As Chief AI Ethics Officer for the U.S. Army AI Integration Center, he developed operational frameworks for deploying AI in environments where failure isn't an option. He led the operationalization of the Army's Responsible AI Strategy, establishing decision rights, accountability structures, and governance models that work at scale.
Before that, Dave served as Professor and Deputy Department Head at the United States Military Academy at West Point, where he shaped the leadership development of future military and civic leaders. His military career culminated in command and staff positions across multiple continents, consistently focused on organizational readiness for technological change.
Today, Dave advises boards and senior leaders on organizational readiness for AI transformation. He operates upstream of implementation—ensuring leadership, governance, and operational processes are ready to execute before time, money, and credibility are at risk.
Credentials & Recognition
Academic Affiliations:
Senior Fellow, Harvard Kennedy School M-RCBG
Visiting Professor, Technical University Munich (Institute for Ethics in AI)
Former Visiting Fellow, Oxford University (Institute for Ethics in AI)
PhD in Philosophy, University of Colorado Boulder
MA in Philosophy, UMass Amherst
BS Aero-Mechanical Engineering, USMA West Point
Industry Recognition:
Forbes "Top 15 AI Ethics Leaders Showing the World the Way of the Future"
Internationally recognized speaker on AI governance, leadership, and execution
Areas of Expertise:
AI organizational readiness and leadership alignment
Governance frameworks that enable execution at scale
High-stakes decision-making under technological uncertainty
Enterprise digital transformation (defense, healthcare, cybersecurity, finance)
Author of The Ethics of Military Privatization: The US Armed Contractor Phenomenon and multiple articles on armed conflict and emerging technology, Dave has been an invited panelist and speaker for over 100 national and international events.
Why Military Leadership Experience Matters for AI Execution
Military operations demand two things most AI initiatives lack: clarity on decision rights and operational discipline at scale.
In the military, when you deploy a new capability, you define:
Who makes decisions and who doesn't
What happens when the system fails or produces unexpected results
How to maintain operational tempo while managing risk
How to ensure teams can execute under pressure
These aren't abstract principles. They're operational requirements. And they're exactly what organizations need when deploying AI at enterprise scale.
Dave brings military-tested frameworks for large-scale operational execution to the AI readiness challenge. Not as metaphor. As methodology.
The Methodology
Empowering AI's work is built on proprietary frameworks developed over three decades of operational leadership and refined through engagements with boards, defense enterprises, and C-suite teams worldwide.
MAVES — The operational chain linking an organization's stated AI values to verifiable system behavior: Values → Key Attributes → Behaviors → Observables → Assurance. MAVES bridges the gap between principles and deployment, making governance something that can be tested rather than assumed.
The AI Readiness Model — A four-dimension diagnostic assessing whether an organization is genuinely ready to execute AI at scale:
Capability (does the system perform reliably under realistic conditions?), Clarity (has leadership defined purpose, key tasks, and end state?), Culture (does the organization appropriately support, question, and override AI?), and Competence (can people operate, interrogate, and override — not just enter data and read outputs?). The model is multiplicative: if any dimension approaches zero, readiness collapses.The model is multiplicative: if any dimension approaches zero, readiness collapses.
These frameworks are developed in depth in Boots on the Ground AI (forthcoming).
THE BOOK — Boots on the Ground AI
When organizations fail to execute AI successfully, it's rarely because the technology doesn't work. It's because leadership wasn't ready for what breaks when AI meets operational reality.
Boots on the Ground AI provides the frameworks leaders need to close the execution gap—drawing on decades of operational experience deploying technology in high-stakes environments.
The book addresses:
How to define decision rights before AI goes live
Building governance that enables execution, not just compliance
Ensuring operational discipline at AI velocity
Managing the cultural shift from human-led to AI-enabled work
Forthcoming. Join the waitlist for early access to frameworks and case studies.
SPEAKING
Dave Barnes delivers keynotes and panel presentations to executive, military, and policy audiences worldwide. With 100+ engagements across defense, enterprise, and international policy forums, he speaks on AI governance, organizational readiness, and responsible AI execution under real-world constraints.
Recent
Stockholm Tech Show — Keynote — May 2026
Responsible AI Forum (TRAIF), Co-Track Leader, Munich — May 2026
SXSW — "Deliverance or Dehumanization: Navigating the AI Age" — March 2026
Munich Security Conference Side Event, Panel Chair — February 2026
Leaders in Responsible AI Summit, Cambridge UK — February 2026
Infoshare, Gdansk — Keynote — May 2024
World Summit AI, Montreal — April 2024
Stanford University — Keynote, Cybersecurity & Privacy Fest — October 2023
Oxford University Institute for Ethics in AI — January & February 2024
TUM Institute for Ethics in AI — recurring presenter
Representative Topics
The Execution Gap: Why AI Strategy Fails at the Leadership Level
Boots on the Ground AI: From Principles to Operational Reality
Organizational AI Readiness: From Ambition to Execution at Scale
We Are the LIMFAC: How Human Decisions Shape Every AI System
Responsible AI as Operational Discipline, Not Compliance Theater