Artificial Intelligence in Paralympic Sports: Advancing Training, Performance, and Media Representation

Abstract

ABSTRACT Paralympic sport is being transformed by artificial intelligence (AI), which is improving training for athletes, constructing media representation, and optimizing performance. The research gives a general overview of the impact of AI on the Paralympic ecosystem by consolidating findings from various viewpoints. The data collected will guide current debates on media equity, representation, and sport technology within Paralympic sport. In addition, the study will draw attention to potential challenges and the ethics of employing AI in adaptive sports. This study integrates primary and secondary sources of data to examine the revolutionary impact of AI in these fields through a qualitative research approach. In order to have first‐hand knowledge regarding applications of AI, primary data will be collected from interviews with coaches, Paralympic athletes, sports scientists, and AI experts. A comprehensive review of scholarly articles, business publications, and case studies that showcase AI‐driven innovations in Paralympic athlete training, performance tracking, and coverage of the Paralympics will be part of the secondary data collection. Thematic analysis is used in the research to identify rising trends and patterns, with case studies offering tangible evidence of how AI has been successfully utilized in Paralympic sport. Adaptive training schemes, biomechanical evaluation, AI‐controlled prosthetics, predictive prevention of injury, and the way AI has made the fair and improved visibility of Paralympic athletes on the media landscape are among the most prominent areas of emphasis. In the end, this study signals the capability of AI to improve sports performance as much as visibility and representation of Paralympic athletes in mainstream popular culture.

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