Since 2016 Allegheny County has used a predictive risk model to support child-maltreatment call screening. Evaluations found it narrowed racial gaps in investigation rates, but independent studies also flag bias — a transparent, contested case.
The Allegheny Family Screening Tool (AFST) helps call-screening staff in Allegheny County's child-protective services by integrating hundreds of administrative data elements into a 'Family Screening Score' predicting future child-welfare involvement. It has been in use since 2016.
Results
Official evaluations found the tool decreased investigations of low-risk referrals, increased them for high-risk referrals, and reduced the racial gap in investigation rates without raising worker burden. Independent research has separately flagged racial bias in the tool's predicted decisions, which workers partly corrected by overriding the tool.
Conclusions
AFST is notable for being unusually transparent and externally evaluated, while remaining genuinely contested — a realistic picture of predictive risk models in high-stakes social services.
Implementation
Implementation detail (cost, timeline, staffing, conditions for success) is not yet available for this practice.
Data sources
Where this practice's information was retrieved from, and when.
In 2018 Salta province (Argentina) and Microsoft built a predictive-analytics algorithm claiming to flag named girls "predestined" for teen pregnancy …