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AI Risk Scoring for Child Welfare Prevention Cases

Accountable

Administration for Children's Services (ACS)

Functional Modes

Deciding (Analytical AI)

Human decides

Purpose

Risk Assessment & Triage

Input Dataset

Operational data Anonymized data

Algorithm or Model

Classification & Prediction

Output Dataset

A recommendation or prediction Anonymized data

Details

This AI model generates a monthly risk score for children enrolled in prevention services, predicting the likelihood of a child welfare investigation within the next 24 months. The scores are used by senior staff to prioritize which families receive enhanced attention during structured planning conferences held approximately 100 days into a prevention service. The model is supervised — a human specialist reviews and acts on the ranked list; no automated decisions are made. It is built entirely on ACS administrative data and does not collect or disclose any identifying information during prediction.