MetroLab Network released “First, Do No Harm: Ethical Guidelines for Applying Predictive Tools Within Human Services” report that provides brief, practical guidance to local governments on how to mitigate the risks that come with applying data science techniques to human services. It is structured around four principles — engagement, model validation, review and transparency — each with specific cautions and recommendations, as well as suggestions about how to approach foundational issues like data stewardship and crisis communications. The report’s authors expect to see many more of these predictive models built and sold into the human services in the coming years. Whether they reduce or amplify the structural biases in the sector may depend on how vigilantly local governments and child advocates adopt and improve upon ethical guidelines like these. This report was made possible thanks to the support of the Annie E. Casey Foundation.