Learning / Action Sessions

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.