The very direction where AI is benefiting sports carries concerns surrounding data and ethics that cannot go unnoticed.
Data Privacy and Security
The reason why AI in sports is able to leverage deep and machine learning models is data. This data comes from a large number of sources from around the world, which leaves a hunch for its leakage and misuse. For example, a sports streaming services provider offers personalised services to millions of fans out there, and one day, cyberattack results in victimising their personal data. The worst side to this concern is that the data is available in a massive amount or, let’s just say, in a quantity that is beyond the world!
Responsibility and Accountability
AI in sports is good as long as there’s accountability for its actions. Coaches and experts cannot rely fully on assessments led by artificial intelligence, or this might lead to a decline in human thinking in determining an athlete’s potential. Moreover, not every athlete will be welcoming to AI-enabled coaching approaches. Therefore, coaches will still need to provide more personalised feedback.
Regulations and Governance
AI governance encompasses several issues, such as fairness, accountability, and transparency in the use of AI in the sports industry. However, AI governance has its own clan of challenges to address, with the primary one being the lack of understanding of AI among organisations. Moreover, governance in AI in sports will work best when applied from the development of algorithms to their deployment.