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This article presents a framework for utilizing AI's capabilities in sport coaching while addressing ethical challenges.
This article presents a comprehensive framework for integrating artificial intelligence (AI) into sport coaching, addressing both its transformative potential and inherent challenges. As coaching evolves toward evidence-based practice, AI offers unprecedented capabilities for performance analysis, individualized training, and strategic planning through technologies like large language models, computer vision, and predictive analytics. However, the responsible adoption of AI necessitates careful consideration of ethical issues, including data privacy, algorithmic bias, and the evolving professional identity of coaches. This framework encompasses six interrelated themes: (1) embedding AI literacy, (2) training in data governance and ethics, (3) developing collaborative competencies, (4) encouraging reflective practice, (5) cultivating change management and leadership, and (6) fostering innovation and creative problem-solving. By integrating these elements into coaching education and professional development, the sport community can ensure AI adoption strengthens ethical, relational, and athlete-centered coaching practices.
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John R. Todorovich (2026) studied this question.
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