Can Predictive Analytics Root Out the Social Workers Most Likely to Break up Black Families?

The idea of using predictive analytics in child welfare easily conjures images of child abuse investigators targeting parents a machine deems most likely to harm their children.

Because black families are so disproportionately likely to be involved with the child protection system, critics credibly argue that predictive risk modeling will only exacerbate existing racial bias. But what if the tool was used in the other direction: to identify child abuse investigators who disproportionately target black children for removals?

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