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AI Risk Scoring for Family Homelessness Prevention

Accountable
Administration for Children's Services (ACS)
Functional Modes
Deciding (Analytical AI)
Human decides
Purpose
Eligibility & Public Benefits
Input Dataset
Operational data Anonymized data
Algorithm or Model
Classification & Prediction
Output Dataset
A recommendation or prediction Anonymized data

This system predicts the likelihood that a family receiving child-welfare prevention services will apply for a homeless shelter within the next 12 months. Each month it produces a ranked list of open cases, helping the Administration for Children's Services identify which families are most at risk and should be prioritized for limited housing vouchers. A service provider still meets with each family in person and makes the final determination — the score is one input among several, not a binding decision.

Sources for this disclosure

This disclosure was drafted with AI assistance.

Schema: ai@2026-05-06-beta