The Role of Artificial Intelligence in Enhancing Soldiers’ Leadership and Performance
Purpose: This study aims to explore the role of artificial intelligence in improving soldier leadership and performance through an innovative technology-based approach.
Research Methodology: The research methods used include literature research, data analysis, and experiments with artificial intelligence systems designed for training simulations, performance analysis, and strategic decision-making.
Results: The findings show that the application of artificial intelligence can improve the effectiveness of soldier training, identify leadership potential through behavioral data analysis, and support faster and more accurate decision-making in dynamic situations. Therefore, integrating artificial intelligence into military training and combat systems can be a strategic solution to significantly improve soldier leadership and performance.
Conclusions: Artificial intelligence significantly enhances soldiers’ leadership and performance by enabling data-driven training, improving decision-making, and providing real-time behavioral analysis. Its integration into military operations increases efficiency, effectiveness, and readiness in addressing complex challenges.
Limitations: This study is limited by its reliance on simulation-based experiments and a specific military training context, which may affect the generalizability of the findings to broader operational environments.
Contributions: This study contributes by providing an integrated framework of artificial intelligence applications in military training, highlighting its role in enhancing leadership, performance, and data-driven decision-making.
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