Learning / Action Sessions

2020 ABIM Foundation First Virtual Forum

Learning/Action Session: Evidence/algorithm bias - Ziad Obermeyer (Research)
Drawing on lessons from my work on algorithmic bias, I'll talk about how seemingly small choices can snowball into large biases. In particular, I'll argue that a subtle error—the conflation of health dollars with health needs—distorts both health algorithms and health policy, and discuss how to avoid that trap.
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