ARTIFICIAL INTELLIGENCE APPLICATIONS IN HUMAN INTERACTIONS TRAINING. A CASE STUDY FOR HUMAN SECURITY SCENARIOS
ARTIFICIAL INTELLIGENCE APPLICATIONS IN HUMAN INTERACTIONS TRAINING. A CASE STUDY FOR HUMAN SECURITY SCENARIOS

Summary/Abstract: The rapid evolution of artificial intelligence (AI) and digital technologies is transforming the way professional training is conceptualized and delivered, particularly in domains that rely on human interaction and adaptive decision-making. Within the military education ecosystem, AI-based tools offer unprecedented opportunities for immersive, data-driven, and scalable learning experiences. This paper examines the integration of AI into human interaction training, focusing on the development and application of the QUESTIFY platform, a modular, AI-driven simulation environment designed to enhance questioning, interviewing, and analytical skills in contexts that require interpersonal engagement. A derivative implementation, QUESTIX, developed in partnership with the NATO HUMINT Centre of Excellence, serves as a case study demonstrating how AI can enhance Human Intelligence (HUMINT) education through adaptive simulations, immediate feedback, and incremental realism. The study further explores the adaptation of the QUESTIFY framework for Human Security training, proposing AI-enabled scenarios that bridge operational realism, ethical awareness, and cognitive performance. The findings suggest that AI-supported training can effectively complement traditional mentorship-based approaches, fostering competencies essential for operating in complex and hybrid security environments. However, this transformation also demands robust ethical frameworks, technological literacy, and institutional readiness to ensure that innovation reinforces, rather than replaces, the human dimension of military education.

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