Application Of Artificial Intelligence In Physical Education And Sports: A Review

The integration of Artificial Intelligence (AI) into physical education (PE) and sports has evolved from early theoretical frameworks to sophisticated data-driven systems. This review traces AI's historical trajectory, highlighting key phases, technological advancements, applications, and ethical challenges. Early developments in cybernetics and rule-based systems laid the foundation for AI applications in biomechanics and performance analysis. The emergence of machine learning, deep learning, computer vision, and wearable technologies transformed injury prevention, performance optimization, talent identification, and pedagogy. While AI continues to revolutionize both elite sports and general physical education, challenges related to data privacy, algorithmic bias, interpretability, accessibility, and human-AI collaboration remain central. Addressing these through cross-disciplinary collaboration and ethical frameworks is essential for responsible AI integration in physical activity and sports science.