At a two-day “datathon” at Brown in early June, local high school students teamed up with computer scientists, health and medical professionals, and other mentors to analyze data, uncover health inequities, and find solutions.
By creating collaborations between high school students, data scientists and clinicians, the hands-on event underscored society's pressing need for people from diverse backgrounds to address bias in AI predictions, contribute to a more equitable health care system and mitigate future problems.
“Our goal is to educate people about bias in machine learning predictions and how that can impact every facet of our medical lives,” said Jeremy Warner, a medicine and biostatistics professor at Brown and one of the event organizers.
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Image credit: Nick Dentamaro
