In this episode of AI, Government, and the Future, host Max Romanik, Principal at Corner Alliance, is joined by Zac Staples, founder and CEO of Fathom5, to discuss the integration of AI in maritime defense systems. Drawing from his 23-year Navy career, Zac explores how AI can enhance military capabilities, the challenges of modernizing legacy systems, and the ethical considerations in defense applications.
In this compelling conversation, Zac Staples shares his unique perspective on the intersection of artificial intelligence and maritime defense, shaped by his extensive naval career and current role leading Fathom5. He discusses the critical need to enhance existing military systems through AI integration, rather than completely replacing them.
The discussion delves into the practical challenges of implementing AI in defense systems, including the importance of developing a tactical Platform as a Service (PaaS) and the need for robust testing frameworks. Zac emphasizes the significance of data engineering and the value of focusing on operator acuity enhancement before tackling more complex AI applications in combat systems.
Throughout the episode, Zac articulates a balanced approach to AI adoption in defense, highlighting both the opportunities for enhanced capabilities and the importance of careful, methodical implementation. He shares insights on the "hedge strategy" approach to military technology adoption and the critical role of industrial optimization in maintaining strategic advantage.
If you enjoyed this episode, make sure to subscribe, rate, and review it on Apple Podcasts, Spotify, and YouTube Podcasts, instructions on how to do this are
here.
Episode Highlights:
- [08:49] - Digital Modernization as Strategic Advantage in Defense: The U.S. cannot win a numbers game in ship production against China, but can gain advantage through superior digital capabilities. Staples explains that the focus should be on making existing systems exponentially more capable through AI and digital modernization, rather than trying to match manufacturing output. This approach allows for creating a "digital warfighting ecosystem" that could overwhelm traditional forces through superior coordination and capability. For defense strategists and policymakers, this means prioritizing investments in digital transformation of existing platforms over building more traditional assets. The strategy requires rethinking how we measure military capability, moving from counting platforms to assessing networked effectiveness.
- [20:33] - Leveraging DOD's Testing Framework for AI Safety: Staples advocates using the Department of Defense's established Operational Test & Evaluation (OT&E) frameworks as a model for ensuring AI safety and effectiveness. The military's rigorous testing protocols, developed for complex weapons systems, provide a ready-made framework for evaluating AI systems. This approach offers a structured way to assess AI safety and performance before deployment, something the commercial sector lacks. For policymakers and technology leaders, this means adapting existing military testing frameworks rather than creating entirely new oversight mechanisms. The framework can help bridge the gap between innovation and safety in AI development.
- [31:43] - "Safe Sandbox" Approach to AI Development: Rather than immediately deploying AI in critical combat situations, Staples recommends starting with lower-risk applications like predictive maintenance. By focusing first on scenarios where AI failures result in mechanical rather than human casualties, organizations can develop expertise and testing protocols safely. This approach allows for learning and refinement of AI systems while minimizing potential harm. For defense technologists and policy makers, this provides a clear pathway for responsible AI integration that builds public trust. The strategy enables rapid development while maintaining appropriate safety margins.
- [45:04] - Tactical Platform as a Service (PaaS) Priority: Staples identifies the critical need for developing a tactical PaaS capability that enables AI deployment at the tactical edge. This infrastructure would allow for continuous AI learning and updating on forward-deployed platforms without requiring constant connection to cloud services. For defense technology leaders and policymakers, this represents a crucial investment priority that could determine future military effectiveness. The development of this capability requires rethinking how we deploy and update AI systems in contested environments, making it a key focus area for defense modernization efforts.
Episode Resources: