FST.ai 2.0：面向奥运会与残奥会跆拳道项目公平、快速、包容决策的可解释AI生态系统
FST.ai 2.0: An Explainable AI Ecosystem for Fair, Fast, and Inclusive Decision-Making in Olympic and Paralympic Taekwondo
AI总结：
针对奥运与残奥跆拳道决策公平透明性难题，提出FST.ai 2.0可解释AI生态系统，整合动作识别、不确定性建模等技术，实验显示可缩短85%复审时间、获93%裁判信任，推动体育领域可信AI落地。
AI中文摘要：
公平、透明且可解释的决策仍是奥运会与残奥会格斗类运动中的核心挑战。本文提出FST.ai 2.0，这是一款可解释AI生态系统，旨在为跆拳道赛事及训练中的裁判、教练与运动员提供实时支持。该系统整合了基于图卷积网络（GCNs）的基于姿态的动作识别、通过 credal 集实现的认知不确定性建模，以及用于可视化决策支持的可解释性叠加层。一组交互式仪表盘可支撑裁判评估、运动员表现分析与残奥会跆拳道分级中的人机协作。除自动计分功能外，FST.ai 2.0还在世界跆拳道联合会生态体系内纳入了裁判培训、公平性监测与政策层面分析模块。基于赛事数据的实验验证显示，该系统可将决策复审时间缩短85%，且裁判对AI辅助决策的信任度达93%。该框架由此为可信、数据驱动的执裁与运动员评估建立了一套透明且可扩展的流程。通过衔接实时感知、可解释推理与兼顾治理的设计，FST.ai 2.0向体育领域公平、可问责、以人为本的AI应用迈出了一步。
英文摘要：
Fair, transparent, and explainable decision-making remains a critical challenge in Olympic and Paralympic combat sports. This paper presents \emph{FST.ai 2.0}, an explainable AI ecosystem designed to support referees, coaches, and athletes in real time during Taekwondo competitions and training. The system integrates {pose-based action recognition} using graph convolutional networks (GCNs), {epistemic uncertainty modeling} through credal sets, and {explainability overlays} for visual decision support. A set of {interactive dashboards} enables human--AI collaboration in referee evaluation, athlete performance analysis, and Para-Taekwondo classification. Beyond automated scoring, FST.ai~2.0 incorporates modules for referee training, fairness monitoring, and policy-level analytics within the World Taekwondo ecosystem. Experimental validation on competition data demonstrates an {85\% reduction in decision review time} and {93\% referee trust} in AI-assisted decisions. The framework thus establishes a transparent and extensible pipeline for trustworthy, data-driven officiating and athlete assessment. By bridging real-time perception, explainable inference, and governance-aware design, FST.ai~2.0 represents a step toward equitable, accountable, and human-aligned AI in sports.
