IBM's Catch Me Up feature at Wimbledon panned for making factual errors
An AI-powered writing tool developed by IBM and used at the Wimbledon tennis tounrnament went badly off-script, prompting complaints and ridicule. Built using IBM’s Granite large language model (LLM) and watson x platform and trained on the Wimbledon editorial style , 'Catch Me Up' generates performance analysis , likelihood-to-win predictions , match reports and player biographies based on personal user preferences and data, including location and user s' myWimbledon profiles. However, it was found to be making significant mistakes in its reporting, prompting complaints by readers and journalists. For example, the system described the former US Open champion Emma Raducanu as the British No 1, although she is the No 3. And it suggested that the phrase "double fault" meant that there were at least two notable mistakes, whereas a double fault occurs when a tennis player makes two consecutive serving errors. IBM had earlier described Catch Me Up as an “exciting example of how we can use the power of generative AI to deliver compelling, insight-driven storytelling at scale”. The errors resulted in embarrassment for Wimbledon and IBM, and led to discussions about the reliability of AI in sports reporting. System 🤖 Catch Me Up Documents IBM and The All England Lawn Tennis Club Launch New Generative AI Feature for Personalised Player Stories at Wimbledon How IBM helps Wimbledon use generative AI to drive personalised fan engagement Operator: All England Lawn Tennis Club Developer: IBM Country: UK Sector: Media/entertainment/sports/arts Purpose: Generate tennis player stories Technology: Chatbot; Generative AI; Machine learning Issue: Accuracy/reliability
- Date it happened
- 2024-07-01
- Organisation involved
- All England Lawn Tennis Club
- Product, system or model
- Catch Me Up
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