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3 lessons from Stanford’s Covid-19 vaccine algorithm debacle

STAT: “Stanford found itself in hot water last week after deploying a faulty Covid-19 vaccine distribution algorithm. But the fiasco offers a cautionary tale that extends far beyond Stanford’s own doors — and holds crucial lessons as the country prepares to confront complex decisions about who gets the vaccine, when, and why. At the center of the debacle was a rules-based formula designed to determine the order in which the thousands of medical workers at Stanford should be vaccinated. The tool took into account employee-based variables like age, job-based variables, and public health guidance, according to MIT Technology Review. But flaws in that calculation meant hospital administrators and other employees working from home were toward the front of the line, while only seven of Stanford’s 1,300 medical residents made the list. Experts told STAT what went wrong appears to be a story of unintended consequences, which often arise at the intersection of human intuition and artificial intelligence. Here are a few key points to consider about the incident and the broader issues it reflects…” [h/t Pete Weiss]

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