Predictive Analytics for City Agencies: Lessons from Children's Services

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Racial disparities in automated speech recognition (2020, background): “…a problem that has recently come to light in several other advancing applications of machine learning, such as face recognition (5, 6), natural language processing (7–11), online advertising (12, 13), and risk prediction in criminal justice (14–17), healthcare (18, 19), and child services (20, 21).”
Actionable Recourse in Linear Classification (2018, background): “In particular, a model should provide all individuals with recourse when it is used to allocate a good that should be universally accessible, such as credit [32], employment [2] and public services [9, 31].”
A case study of algorithm-assisted decision making in child maltreatment hotline screening decisions (2018, background): “Readers are also encouraged to refer to the recent work of Shroff (2017) for another perspective on predictive analytics in the child welfare domain.”