The integration of artificial intelligence (AI) and machine learning (ML) in sports analytics offers significant advancements in performance enhancement, strategy development, and injury prevention. However, it also presents critical ethical challenges that require careful consideration. This paper explores these ethical issues through four case studies: player privacy and data security in the New England Patriots, bias in talent identification at FC Barcelona's La Masia academy, the impact on coaching and decision-making in the Los Angeles Lakers, and long-term health implications at Manchester City. The analysis highlights the importance of transparency, fairness, and the safeguarding of athletes' well-being. Practical, ethical, theoretical, managerial, and societal implications are discussed, alongside limitations and future research directions. This paper emphasizes the need for a balanced approach that integrates AI insights with human expertise to ensure ethical and effective use in sports.