Marie-Pascale Grimon () and Christopher Mills ()
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Marie-Pascale Grimon: Swedish Institute for Social Research, Postal: SOFI, Stockholm University, SE-106 91 Stockholm, Sweden
Christopher Mills: Department of Economics, University of Notre Dame, Postal: Department of Economics, Jenkins-Nanovic Hall, University of Notre Dame, Notre Dame, IN 46556, United States
Abstract: Algorithm tools have the potential to improve public service efficiency, but our understanding of how experts use algorithms is limited, and concerns about resulting bias are widespread. We randomize access to algorithm support for workers allocating Child Protective Services (CPS) investigations. Access to the algorithm reduced maltreatment-related hospitalizations, especially for disadvantaged groups, while reducing CPS surveillance of Black children. Child injuries fell by 29 percent. Workers improved their scrutiny of complementary information emphasized by the algorithm, and targeted investigations to children at greater risk of harm irrespective of algorithm-predicted risk. Algorithm-only counterfactuals confirm human-algorithm complementarity for both efficiency and equity.
Keywords: algorithm tools; human-algorithm interaction; child protection
JEL-codes: D63; I38; J13; K40; M54
Language: English
80 pages, January 14, 2025
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