Integrating Artificial Intelligence into Irregular Warfare Education: A Framework for Military Learning and Training

Artificial Intelligence is increasingly embedded in contemporary military operations, yet its effective and ethical integration depends largely on how defense institutions educate and prepare personnel. While technological advancements receive significant attention, the pedagogical systems that enable responsible adoption remain underexamined. This study examines how AI can be systematically incorporated into professional military education and training for irregular warfare. Using qualitative doctrinal analysis and thematic synthesis of United States and NATO policy documents, scholarly literature, and recent operational practices, the research develops a five layer instructional framework linking strategic alignment, doctrinal integration, operational learning, data driven intelligence education, and human AI governance. The framework demonstrates how AI competencies can be embedded within curricula, training programs, simulations, and institutional learning systems in a structured and scalable manner. Findings indicate that successful AI adoption requires coordinated reforms in doctrine, instructional design, leadership development, and ethical oversight rather than isolated technical training initiatives. The study further emphasizes the importance of experiential learning environments, interdisciplinary collaboration, scenario based exercises, and continuous professional development in cultivating AI literacy and adaptive decision making among military personnel. By reframing AI integration as a comprehensive pedagogical transformation rather than a purely technical upgrade, this research contributes to education sciences by illustrating how emerging technologies reshape professional learning ecosystems. The proposed model offers practical guidance for educators, policymakers, and training institutions seeking to enhance operational readiness while maintaining transparency, accountability, and principled human judgment.