Trust, Bias and Audits for the Algorithmic Athlete: The Need for Human Judgment in the Age of AI?
As machine-learning and AI–driven predictive models become increasingly prevalent in athlete monitoring, injury-risk assessment, and the optimization of human performance, there is an urgent need for guidelines to ensure their transparent development, supervised implementation, and…
