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Bryce Goodman    

Chief Strategist for Artificial Intelligence, US Department of Defense Innovation Unit

Bryce Goodman is a technologist and philosopher working at the intersection of frontier technologies and global challenges. As Chief Strategist for the Artificial Intelligence and Machine Learning Portfolio at the Department of Defense's Innovation Unit (DIU), he has helped grow a $200M+ portfolio of transformative AI projects spanning humanitarian assistance and disaster response, countering human trafficking and illegal fishing, supply chain optimization and open source intelligence. Goodman co-authored DIU's Responsible AI Guidelines, the first operational implementation of the DOD's AI Principles, which now influences over $1B in annual AI investments across federal agencies.

As a sought-after advisor on AI strategy and governance, Goodman has delivered over 50 keynote speeches to audiences totaling 10,000+ at institutions including the CIA, UK Cabinet Office, and World Bank. He is part of a boutique consulting practice that has advised 30+ leading organizations across sectors. Notable clients include KKR, TPG, Google, EY, Deloitte, LG, Citibank, Barclays, Blackstone, United Nations and NASA.

Previously, Goodman led the AI grants program at Oceankind (Larry Page & Lucy Southworth's oceans-focused foundation), was a Senior Contributing Scientist at the Environmental Defense Fund, and co-founded a cleantech startup that raised over $100m from leading VCs including Kleiner Perkins. Goodman's awards include Forbes 30 under 30 (Energy & Industry), Harvard Business School Best New Venture and World Economic Forum Technology Pioneer. He is a graduate of Deep Springs College, the University of Oxford (Clarendon Scholar; first class honours) and Singularity University, and holds degrees in data science, philosophy, political science and economics. He is completing a PhD in AI and Philosophy at the University of Oxford."

Speech Topics

The Great Rewiring: Ethics in the Age of Thinking Machines

This isn't another talk about AI ethics filled with hypothetical scenarios and distant threats. Instead, we'll explore how AI is forcing us to confront fundamental questions about intelligence, consciousness, and human value - right now. Through real-world examples from autonomous vehicles to hiring algorithms, we'll examine how AI is already challenging our ethical frameworks and why traditional approaches to technology ethics don't work anymore. Most importantly, we'll explore why the greatest risk isn't that AI will become too human-like, but that humans will become too AI-like in how we think about value, optimization, and decision-making.

Key Takeaways:

  • Understand why current ethical frameworks fall short for AI governance
  • Learn how to identify and navigate real-world AI ethical dilemmas
  • Discover why ethics can't be an afterthought in AI development
  • Explore how to maintain human values in an age of algorithmic decision-making
  • Develop strategies for ethical AI implementation in your organization

More Than a Tool: Understanding the AI Revolution

Most enterprise AI discussions focus on implementation, use cases, and ROI. This talk takes a different approach, revealing how AI represents not just new technology, but a fundamental shift in how organizations create value - similar to how electricity transformed manufacturing not through the technology itself, but by enabling entirely new ways of organizing work. Through historical parallels and contemporary case studies, we'll explore why most companies are approaching AI wrong and how to position your organization for the real transformation ahead.

Key Takeaways:

  • Learn why traditional technology adoption models don't work for AI
  • Understand the five key paradigm shifts AI enables in enterprise
  • Discover how to identify high-value AI opportunities others miss
  • Master the principles of organizational rewiring for the AI age Develop strategies for leading paradigm-level change

The Intelligence Race: AI and the New Global Order

This talk moves beyond typical discussions of AI superiority between nations to examine how AI is fundamentally reshaping global power dynamics, economic relationships, and the nature of conflict itself. Through analysis of real-world examples - from semiconductor politics to the weaponization of large language models - we'll explore how AI is creating new forms of geopolitical leverage and vulnerability. Most importantly, we'll examine why traditional frameworks for understanding international competition and cooperation need to be updated for an age where the primary battlefield is computational.

Key Takeaways:

  • Understand the real drivers of AI geopolitical competition
  • Learn how AI is reshaping traditional power dynamics
  • Discover new frameworks for analyzing technological advantage
  • Explore scenarios for future AI-driven international conflict
  • Develop strategies for navigating the new global order

The Automation Paradox: Why AI Will Make Human Skills More Important Than Ever

Everyone's asking how AI will replace jobs - but that's the wrong question. This talk explores the counterintuitive reality that AI's greatest impact won't be replacing human work, but fundamentally changing how we organize it. Through case studies and research, we'll examine why traditional organizational structures are becoming obsolete, how AI is enabling new forms of collaboration and creativity, and why the most successful companies will be those that use AI to augment human capabilities rather than replace them. Most importantly, we'll explore why soft skills like creativity, emotional intelligence, and ethical judgment become more, not less, crucial in an AI-powered organization.

Key Takeaways:

  • Understand why traditional organizational models don't work in the AI age
  • Learn how AI transforms collaboration, creativity, and decision-making
  • Discover new frameworks for organizing human-AI teams
  • Master the principles of organizational design for the AI era
  • Identify which human skills become more valuable with AI
  • Develop strategies for building learning organizations that thrive with AI

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