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AI Risk Scoring for Child Welfare Prevention Services

Accountable
Administration for Children's Services (ACS)
Functional Modes
Deciding (Analytical AI)
Human decides
Purpose
Risk Assessment & Triage
Input Dataset
Sensitive personal information Pseudonymous data
Algorithm or Model
Classification & Prediction
Output Dataset
A recommendation or prediction Pseudonymous data

This system uses a machine learning model to predict the likelihood that a child currently receiving prevention services will be involved in a future substantiated child maltreatment investigation within 24 months of leaving those services. It generates a ranked list of open prevention cases, ordered from lowest to highest risk, reviewed biweekly by managers in the NYC Administration for Children's Services. The tool is used internally to understand program capacity and service length — it is not shared with service providers or used to make individual case decisions.

Sources for this disclosure

This disclosure was drafted with AI assistance.

Schema: ai@2026-05-06-beta