Artificial Intelligence (AI) and Multi-Agent Systems in Defense Policy Modeling
About this episode
The episode discusses how AI and multi-agent systems are transforming defense policy modeling and decision-making.
For decades, the U.S. government has tested weapons systems before deployment, but not the policies that govern them. That gap is starting to close through artificial intelligence (AI) and advanced modeling techniques. In this episode, Dr. Arun Seraphin sits down with Dr. David Metcalf and Dr. Doug Buettner to explore how AI, multi-agent systems, and simulation technologies are transforming how defense policy can be designed, tested, and implemented. What emerges is a new paradigm: policy that can be modeled and refined before it ever reaches the real world. The conversation explores how AI-powered multi-agent systems can simulate complex environments with multiple stakeholders, enabling policymakers to run thousands of “what if” scenarios in real time. As these systems scale, questions of bias, validation, and trust become central to whether artificial intelligence-driven insights can inform high-stakes decisions. Looking ahead, the challenge is no longer technical feasibility—it is whether institutions can adopt AI and multi-agent systems, build the right validation frameworks, and ensure that AI-driven policy decision-making remains accountable. NDIA ETI Brief -- “Using Data…
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