AI in medicine needs to be carefully deployed to counter bias – and not entrench it
AI in medicine needs to be carefully deployed to counter bias – and not entrench it Enlarge this image toggle caption MARK RALSTON/AFP via Getty Images MARK RALSTON/AFP via Getty Images Doctors, data scientists and hospital executives believe artificial intelligence may help solve what until now have been intractable problems. "If you mess this up, you can really, really harm people by entrenching systemic racism further into the health system," said Dr. Mark Sendak, a lead data scientist at the Duke Institute for Health Innovation. Sponsor Message These new health care tools are often built using machine learning, a subset of AI where algorithms are trained to find patterns in large data sets like billing information and test results. Sponsor Message "You're essentially walking where there's land mines," Sendak said of trying to build clinical AI tools using data that may contain bias, "and your stuff's going to blow up and it's going to hurt people." Duke's Mark Sendak welcomes new regulations to eliminate bias from algorithms, "but what we're not hearing regulators say is, 'We understand the resources that it takes to identify these things, to monitor for these things.
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