Athleet.AI Performance Intelligence Series
The Responsible Performance System
governance, explainability and trust in AI for sport
Founder and Chief AI Officer, Athleet.AI
Abstract
Sport is buying artificial intelligence faster than it is governing it. The gap is not primarily an ethical problem, though it is that as well. It is a performance problem. Coaches do not act on advice they cannot interrogate, athletes do not trust systems that will not explain themselves, and a club that cannot say who approved a decision cannot learn from it. Ungoverned AI is not dangerous mainly because it is unsafe. It is wasteful because it is unused. This paper sets out a governance and operating model that a federation, club or institute can adopt without creating a new department. It rests on classifying decisions rather than technologies, on stating what kind of evidence stands behind every number, and on putting a name and a date against every decision that affects a person.
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BibTeX
@techreport{forrest2025theresponsib,
author = {Forrest, Paul},
title = {The Responsible Performance System: governance, explainability and trust in AI for sport},
institution = {Athleet.AI},
series = {Athleet.AI Performance Intelligence Series},
year = {2025},
month = {04},
pages = {39},
url = {https://papers.ecaveo.com/the-responsible-performance-system-ai-governance-sport/}
}