Description
Artificial Intelligence (AI) and automation has been one of the most popular topics of the century. It has been integrated into education, medicine, and transportation to make tasks easier and increase productivity. AI and automation is constantly being discussed for being a double edged sword. On one side, it makes tasks capable of being completed faster and oftentimes more accurate, but the other side argues that it lacks accountability. Before AI and automation is introduced to a system , it is integral to analyze the pros and cons of said implementation. This research focuses on the integration of AI and automation in sports and how its risks can affect athlete data, match outcomes, and device reliability. Past research has examined accuracy and health benefits; however, device security, data flow, and contingency planning in the event of an attack or breach has not been acknowledged. This study investigates these gaps by examining how AI-driven wearables and automated officiating systems function; how data flow is mapped; and what vulnerabilities affect confidentiality, integrity, and availability. Literature reviews and input from sports management and computer science professionals, athletes, and trainers will illustrate what protections are currently available and what they think of the trade-offs. The results will highlight key risks, identify potential solutions, and offer guidance for sports organizations and tech developers so that AI and automation in sports can be both innovative and secure.