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Topic: Advocacy - March 05 2026
AI Bias and Women Athletes

With the vast majority of sports science research conducted on male athletes, the field of data for women athletes is very small. This means that data fed into AI models will naturally be an underrepresentation of women athlete’s bodies, experiences, and science. Here’s how we can start correcting some of these biases.

By Lizzy Crawford

VIS Creator

Topic: Advocacy

March 05 2026

AI+BIAS+(1)
AI seems to be everywhere these days. From videos on social media to large language models (LLM) like ChatGPT, we can’t escape it.  Many athletes are now using AI software to get workout, training, fueling, and recovery suggestions. These technologies are used in sport, too. But do they paint an accurate picture of sport for women athletes?  VIS CEO Stef Strack breaks down AI bias, how it impacts women athletes, and how we can flip the script.  What is AI Bias?<...
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