Faster, more accurate? A feasibility study on replacing human judges with artificial intelligence in video review for the Paris Olympics Taekwondo competition
Introduction: This study explores the potential of artificial intelligence (AI) to enhance the accuracy and efficiency of video review systems in Taekwondo, addressing limitations in current human-based judgment processes during competitions. Methods: A total of 241 video review cases from the 2024 Paris Olympic Taekwondo competition were analyzed. AI-based judgments were generated using ChatGPT-4.5 and OpenPose deep learning models. The AI-generated penalty decisions were statistically compared to those made by…
In a study of Paris 2024 taekwondo video reviews, ChatGPT-4.5 with OpenPose agreed almost perfectly with international referees (kappa 0.897) and cut average review time by about 81%.
The same AI disagreed with referees in nine reviews, mostly minimal-contact head strikes or blocked views, and an expert panel classed two as outright AI errors.
The authors say AI cannot yet replace human referees: it struggled with minimal contact, occlusion and ambiguous calls, and the work covers one event, one sport and frame-by-frame analysis rather than real-time, multi-angle review.
Sources
- Peer-reviewedFrontiers in Sports and Active Living2025-08-18
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Truvace Impact Record TRV-2026-2398, v1: “Faster, more accurate? A feasibility study on replacing human judges with artificial intelligence in video review for the Paris Olympics Taekwondo competition.” Truvace, 2026-11-06. /record/TRV-2026-2398 (accessed on the day you copy it). sha256 0e0e1153b6b0c7dd…
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