The Biases Behind Predictive Algorithms for Child Welfare Tracking

Eleven states in the country are currently using child welfare tracking algorithms to better identify children at risk. According to research conducted by Carnegie Mellon University, the algorithms target a disproportionate number of Black and low-income families. We discuss the implementation of child welfare tracking algorithms with Anjana Samant, senior attorney at the ACLU and Nico’Lee Biddle, Senior Program Manager at the Center for the Study of Social Policy.