| Legal Implications of Using Ai-Based Technologies in Athlete Performance Data |
| Paper ID : 1142-SPORTCONGRESS (R1) |
| Authors |
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Javad Paziresh *1, Fatemeh Naderian2, Abdullah Rasaee rad3 1Lecturer in the Department of Physical Education, Khorramabad University of Applied Sciences, Sports teacher, District 1, Khorramabad 2PhD in Sports Management, Shahid Chamran University of Ahvaz 3PhD in Sports Management, Shahid Chamran University of Ahvaz - Sports Teacher, Gachsaran |
| Abstract |
| Abstract Introduction: Artificial intelligence-based technologies are evolving at a rapid pace, allowing athletes to collect data ranging from heart rate, glucose levels, breathing rate to speed, distance, injuries, and fatigue. Collecting and analyzing this information provides more important and sensitive data related to the identity, location, or health status of athletes. The development of the AI technology industry is transforming the landscape of sports in terms of training, performance, and fan engagement, creating uncharted legal territory that is leading to regulatory issues that challenge the existing legal framework. The purpose of this study was to investigate the legal implications of using artificial intelligence-based technologies in athlete performance data. Methods: The present research was a qualitative study that was conducted by reviewing documents and using a descriptive and analytical approach. Results: The research findings indicate that the legal implications of using AI-based technologies on athlete performance data are related to data protection, cybersecurity, as well as privacy and confidentiality, ownership, and use of data. These challenges raise questions such as who is responsible for the secure storage, protection, and legitimate use of data? Who owns athlete data generated from various sources, such as movement data, medical information, wearable technologies, fitness and drug testing, and injury treatments? With the involvement of multiple stakeholders, such as teams, athletes, and AI developers, in processing the data, these questions remain unanswered. Conclusion: Therefore, as artificial intelligence systems in sports continue to advance, implementing proper cybersecurity is more essential than ever due to the risks posed by its absence or through a hacked platform. The adoption of specific laws and regulations in this area is also another necessity. |
| Keywords |
| Cybersecurity, Sports law, Data protection, Athletes, Artificial intelligence |
| Status: Abstract Accepted (Poster Presentation) |
