This is uncharted territory for AI in medicine and could be a recipe for disaster.
. It’s a pernicious issue plaguing the world of neural networks and machine learning that not only strengthens existing biases and racist thinking, but also worsens the effects of racist behavior towards communities of color everywhere.That’s what’s so concerning about alast week by a team of researchers from MIT and Harvard Medical School, which created an AI that could accurately identify a patient’s self-reported race based on medical images like X-rays alone.
Of course, this poses a number of big, hairy ethical issues with some terrifying implications. For one, research like this could give ammunition to so-called race realists and other conspiracy theorists who peddle in pseudoscience that purports that there’s an inherent, medical difference in different racial groups even though that is, of course,There’s also the fact that a model like this can be incredibly harmful if rolled out at scale to hospitals and other practices.
“The reason we decided to release this paper is to draw attention to the importance of evaluating, auditing, and regulating medical AI,” Leo Anthony Celi, a principal research scientist at MIT and co-author of the paper, told The Daily Beast. “The FDA doesn't require that model performance in non-medic settings are reported by subgroups, and commercial AI often doesn't report subgroup performance either.
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