Artificial Intelligence and the Future of Sport

Artificial Intelligence and the Future of Sport: Performance, Policy, and Ethics (Edited by Furqan Qamar et al., 2023)

Core thesis and contribution

This edited volume shifts the conversation from “how to win” to “how to govern.” Its organizing triad—performance, policy, ethics—signals that AI in sport is not just an innovation; it is a regulatory and moral problem. Compared to Moneyball and Alamar, the epistemic stakes here are higher because the systems discussed often involve biometric surveillance, predictive injury risk, automated officiating, and decision systems that reshape careers.

Performance: optimization with human costs

AI-based performance tools promise marginal gains through personalization—training load optimization, movement analysis, recovery prediction. But these systems also create new forms of coercion. If a club can measure everything, athletes may lose privacy and autonomy. Moreover, performance data can be repurposed: from improving training to negotiating contracts, selecting lineups, or justifying dismissal. That is an AI-management issue: performance analytics becomes a labor governance system.

Policy: rules for data, fairness, and accountability

A central implication is that sports institutions will need policies analogous to enterprise AI governance, but tailored to sport’s unique features: competitive secrecy, high injury risk, and the public legitimacy of rules and officiating.

Key policy themes that follow from the volume’s framing include:

• Data ownership: Do athletes own their biometric data, or do teams/leagues?

• Consent and power asymmetry: Is consent meaningful if refusal harms selection chances?

• Auditability: Can a league audit injury prediction models or officiating algorithms?

• Equity: Will wealthier teams gain disproportionate advantages from AI infrastructure?

  
  

Ethics: legitimacy and the meaning of sport

The ethics dimension is where this book most sharply diverges from the “analytics as advantage” narrative. Sport is not only a contest of efficiency; it is also a cultural practice with values—fairness, human excellence, unpredictability, and shared meaning. AI systems can erode those values if they reduce sport to an optimization problem.

For journalism, this volume supplies a crucial agenda: reporters must treat AI not as “cool tech” but as governance infrastructure shaping athlete welfare, competitive integrity, and public trust.