This study explores the impact of artificial intelligence (AI) on sports equity and inclusion, focusing on its use in training, officiating, and talent selection. AI includes technologies like AI-driven training tools and systems, such as VAR. While AI can enhance access to sports resources, it may also worsen existing inequalities. The goal is to examine how AI influences fairness in sports and promotes inclusion, particularly in university sports, while considering its effects on athlete development, decision-making, and fan engagement across social groups. A qualitative approach was used to examine AI in university sports. Participants include sports students, faculty, coaches, and administrators. Data were collected through semi-structured interviews, focus groups, and surveys to understand perceptions of AI in training, officiating, and health monitoring. Data analysis follows a thematic approach, using sports sociology theories such as social structure and digital divide theory to identify key themes on AI’s impact on sports equity. AI affects sports equity in both positive and negative ways. AI-driven training and health monitoring improve accessibility, especially for student-athletes with fewer resources. However, AI in officiating and talent selection raises fairness concerns, with AI favoring well-funded programs. AI is also reshaping careers in sports, creating demand for AI skills but reducing traditional roles. Digital technologies like VR/AR change training and fan engagement but are limited by the digital divide. AI’s impact on decision-making raises ethical concerns, with AI recruitment favoring certain styles and overlooking diverse talents. Some athletes note that AI prioritizes male performance metrics over female athletes, highlighting the need for ethical AI in sports. This study confirms that AI enhances sports accessibility but reinforces technological divides. While AI-driven training and health monitoring promote inclusivity, socio-economic disparities persist in adoption. Unlike prior research on elite sports, this study highlights AI’s role in education and grassroots participation. Limitations include a university-based sample and a lack of quantitative validation. Future research should expand samples and integrate mixed methods to assess AI’s long-term impact on careers, ethics, and regulation. Addressing the digital divide and promoting ethical AI use can foster a more inclusive sports environment. Enhancing AI literacy among stakeholders can maximize benefits and mitigate risks, ensuring advancements align with social responsibility.
Jieqi Shi (Thu,) studied this question.