Predictive analytics and child welfare: Toward data justice

Abstract

Background: Child welfare agencies in many countries are increasingly using predictive analytics to influence decisions about the allocations of resources and services, risk, and intervention. Analysis: The speed with which predictive analytics is being introduced in child welfare services is problematic. Research on this issue raises significant concerns about inequality, transparency, public accountability and oversight. Conclusion and implications: These systems are being introduced before adequate review and necessary public debate on whether they should be used in areas of social care. In order for such debate to occur, there needs to be: a) more information about where and how these systems are being implemented; b) greater effort to generate wider public deliberation about their use; and c) more investigation of their impact on practitioners and families.