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A top researcher at the Massachusetts Institute of Technology on Thursday said that artificial intelligence systems developed for medicine must be more transparent and judged against a set of common standards to ensure fairness and equity.

“It’s really important, whenever we are developing these models, to train them on diverse populations and report their accuracy, slicing and dicing for different subpopulations,” Regina Barzilay, a professor of engineering and computer science at MIT, said Thursday at the STAT Summit. “It’s very easy with these models, if they’re trained on one population and then applied on another…to provide inequitable care.”

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