Application of Artificial Intelligence in Sports Analytics: Analysing the Ethical and Legal Perspectives

Artificial intelligence (AI) is used in a multidimensional field of sciences, computer sciences, business communities, health, weather, finance, art, etc. offering smart solutions. Now-a-days AI is prevalent in sports analytics enhancing plenty of opportunities. These innovative approaches propel advancements in sports by giving teams fresh and creative ways to obtain an edge over rivals, extending the reach of sponsors and corporations, and breaking new ground in a profitable software industry that spans from Formula 1 to football. Some other significant applications of AI in sports include enhancing player performance, providing personalised training and diet plans, using scouting and recruitment techniques, decision forecasting, advertising, etc. Technological capabilities of AI in sports are well documented; it confronts a number of challenges such as data privacy issues, loss of autonomy, misuse of AI chatbots, deepfakes, impersonation, hacking, autonomous bias, manipulation of behaviour, lack of algorithm transparency, intellectual property rights issues, and liability for damages. Further, it has national as well as supranational implications. In the absence of a proper legal/regulatory mechanism to address such challenges, it becomes difficult to address grievances arising out of any dispute pertaining to the above.