FST.ai 2.5: Explainable and Uncertainty-Aware AI for Olympic and Para-Taekwondo Decision Support, Athlete Digital Twins, and Federation-Scale Analytics

Explainability is central to responsible AI in sports: FST.ai 2.5 prioritizes transparent, explainable AI rather than "black box" decision-making, ensuring that coaches, referees, and athletes can understand why the system makes specific recommendations about performance or competition decisions.

Uncertainty awareness prevents overconfidence in AI predictions: The framework explicitly incorporates uncertainty quantification into its forecasting and recommendations, meaning the system communicates when it is less confident about predictions—a critical safeguard against blindly trusting AI outputs in high-stakes athletic decisions.

Governance and security must match AI capability: The system implements "federation-aware governance" and secure data management across multiple stakeholders (World Taekwondo, national associations, coaches, referees), demonstrating that responsible AI deployment requires institutional frameworks and data protection protocols, not just technical sophistication.

AI should support human decision-makers, not replace them: FST.ai 2.5 functions as a "decision-support system" providing tactical diagnostics and recommendations to coaches and referees rather than making autonomous decisions, preserving human judgment and accountability in competitive contexts.

Responsible AI design is transferable across domains: Although developed specifically for Olympic and Para-Taekwondo, the paper emphasizes the methodology's broader applicability, suggesting that principles of explainability, uncertainty awareness, and stakeholder-centered governance can guide responsible AI implementation in other high-stakes fields.