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Educating Tomorrow’s Leaders: Human-AI Collaboration Patterns for Professional Military Education
Volume 11, Issue 2 (2025), pp. 172–218
William "Bill" Combes ORCID icon link to view author William "Bill" Combes details  

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https://doi.org/10.57767/jobs_2025_012
Pub. online: 31 December 2025      Type: Research Article      Open accessOpen Access

Published
31 December 2025

Abstract

We educate tomorrow’s military leaders for operations involving tools we cannot access, doctrine not yet codified, and threats evolving faster than curricula. This article presents empirical findings from systematic exploration of human-AI collaboration in military education involving thirteen Baltic-Nordic defence organisations. Through AI-assisted facilitated workshops, three empirically grounded patterns of human-AI collaboration emerged alongside a command-control distinction derived from practitioner wisdom. The probe-sense-respond methodology enabled pattern discovery where traditional planning approaches fail. Findings offer transferable frameworks for professional military education institutions navigating AI integration while maintaining human primacy in command authority. Regional collaboration achieved what no single institution could accomplish independently.

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Open Access. ©
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This work is licensed under the Creative Commons Attribution 4.0 International License.

Keywords
Human-AI Collaboration Professional Military Education Complexity Theory Command-and-Control Baltic Defence Cooperation

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