Artificial Intelligence (AI) is rapidly reshaping the landscape of sports coaching and physical education through data analytics, biomechanical monitoring, predictive modelling, and automated decision-support systems. While these technologies enhance performance optimization, injury prevention, and talent identification, their accelerated adoption introduces complex ethical, pedagogical, and governance challenges that remain insufficiently examined in higher education and collegiate sport contexts. Issues relating to algorithmic bias, privacy invasion, surveillance, transparency deficits, and diminished human agency raise important questions regarding fairness, accountability, and trust in AI-enabled coaching environments. This study critically examines the ethical implications of AI integration within sports coaching and college physical education settings through a conceptual and empirical lens. Drawing upon contemporary interdisciplinary literature and ethical AI frameworks advocated by organizations such as the International Olympic Committee, the paper analyses how technological systems may influence coaching autonomy, athlete welfare, and educational values. Particular attention is given to the risks of data misuse, opaque decision processes, and over-reliance on automated recommendations that may marginalize professional judgment. Methodologically, the study adopts a mixed-methods design combining literature synthesis with a structured survey of coaches, physical education teachers, and student athletes to evaluate awareness, perceptions, and ethical concerns surrounding AI tools. Descriptive and inferential analyses are proposed to assess stakeholder trust and readiness for responsible AI adoption. The paper argues that AI should augment rather than replace human expertise and recommends a humancentered governance framework incorporating ethical guidelines, data protection policies, algorithmic transparency, and AI literacy training. By bridging technology and ethics, this research contributes to sustainable and equitable implementation strategies for AI in sports education. Ultimately, responsible integration requires balancing innovation with human values to safeguard fairness, dignity, and educational integrity.