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Training

As operational landscapes evolve, militaries recognize the urgent need to harness the potential of artificial intelligence (AI) for adaptable capabilities. Introducing the concept of the “defense metaverse,” this approach constructs a dynamic digital twin of the battlespace, integrating AI and sophisticated models to refine tactical concepts. Highlighting successes like the GhostPlay project, it emphasizes prioritizing experimentation, training, and infrastructure to optimize AI-driven military capabilities.

Heiko Borchert, Co-Director, Defense AI Observatory, Germany

Torben Schütz, Research Fellow, Defense AI Observatory, Germany

AI is making its way into military operations and warfighters will increasingly co-exist with machines with progressively more advanced autonomous capabilities. As machines make the jump from simple tools to cooperative teammates, human-machine teaming will be at the center of warfare. Understanding how to ensure trust between humans and machines is critical.

Dr. Jean-Marc Rickli, Head, Global and Emerging Security Risk, Geneva Centre for Security Policy, Switzerland

Federico Mantellassi, Research and Project Officer, Geneva Centre for Security Policy, Switzerland

Multi-domain operations can present many challenges for training, particularly as various disparate organizations must be involved and centralized coordination must be balanced with decentralized training objectives. Emerging training technologies can help support the unique complexities of MDO, but the training community may need to solve old problems.

Dr. Tim Marler, Senior Research Engineer, RAND Corporation and Professor, Pardee RAND Graduate School, United States