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TRUVACE RECORD VERSION
record: TRV-2026-0083
version: 4
kind: revised
reason: Model backfill: grounded claim, summary, sector, and trace validation
timestamp: 2026-07-13T00:37:01.700334Z
status: published
lens: trace
sector: sports
headline: Rage against the machines: ignore the fury at Wimbledon, AI in sport works | Sean Ingle
dek: We are all suckers for a good story. And there was certainly a cracking two‑parter at Wimbledon this year. First came the news that 300 line judges had been replaced by artificial intelligence robots. Then, a few days later, it turned out there were some embarrassing gremlins in the machine. Not since Roger Federer hung up his Wilson racket has there been a sweeter spot hit during the Wimbledon fortnight. First the new electronic line-judging system failed to spot that Sonay Kartal had whacked a ball long during he
gain_title: Using artificial intelligence robots for electronic line-judging at Wimbledon reduces incorrect close calls compared to human line judges
problem_title: The AI electronic line-judging system at Wimbledon failed to correctly call balls out, missing a long shot in live play
trace_subject: accuracy of line calls at Wimbledon after replacing human judges with AI electronic line-judging
gain_reading: Using artificial intelligence robots for electronic line-judging at Wimbledon reduces incorrect close calls compared to human line judges
problem_reading: The AI electronic line-judging system at Wimbledon failed to correctly call balls out, missing a long shot in live play
quick_read: Wimbledon replaced its team of 300 line judges with an artificial intelligence electronic line-judging system. Days later during the tournament the system failed to spot that Sonay Kartal had hit a ball long, an incident described as embarrassing gremlins in the machine.

This matters because line-calling directly affects match outcomes and officiating jobs, and the case illustrates the trade-off between a known human error rate on close calls and the expectation of machine reliability. It remains uncertain how often the AI system errs compared to humans and how such failures will be handled in future tournaments.
limitation: Article does not provide measured error rate for the AI system or comparison data from the same tournament
tag: Model-validated trace
key_points: At Wimbledon 2025, 300 human line judges were replaced by an AI electronic line-judging system | Researchers had previously estimated human judges get about 8 percent of close calls wrong | The new system failed during a match involving Sonay Kartal when it did not call a ball long | The article frames the incident as part of a two-part story of replacement followed by embarrassing system errors
rundown: Wimbledon replaced its team of 300 line judges with an artificial intelligence electronic line-judging system. Days later during the tournament the system failed to spot that Sonay Kartal had hit a ball long, an incident described as embarrassing gremlins in the machine.

This matters because line-calling directly affects match outcomes and officiating jobs, and the case illustrates the trade-off between a known human error rate on close calls and the expectation of machine reliability. It remains uncertain how often the AI system errs compared to humans and how such failures will be handled in future tournaments.
sources:
- journalism | The Guardian | https://www.theguardian.com/sport/2025/jul/15/rise-of-the-machines-ai-outrage-technology-tennis-sport | 2025-07-15
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