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AI Risk Scoring for Fire Inspection Prioritization

Accountable
Fire Department (FDNY)
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

This system scores every inspectable building in New York City (approximately 330,000 properties) on a scale of one to nine, where one indicates the highest fire risk. The score combines a machine-learning estimate of structural fire probability with a risk ratio for civilian injury or death, and is used by the Fire Department to schedule which buildings receive operational inspections. No identifying information about individual occupants is collected or disclosed; the system affects properties and, by extension, the people who live or work in them.

Sources for this disclosure

This disclosure was drafted with AI assistance.

Schema: ai@2026-05-06-beta