OMB Individually Reported
NLETs Arrest Classification
High riskExact public inventory row
Description
Uses statistical techniques to classify text descriptions of arrests
Detailed example
Classifies arrests into offense types
AI / analytics pattern
Classical/Predictive Machine Learning: Models trained on data to make predictions or classifications based on identified patterns or relationships.
Automation level / stage
c) Deployed – The use case is being actively authorized or utilized to support the functions or mission of an agency.
Expected benefit
Correctly classifying arrest records to inform recidivism assessments
Controls / human review
ATO: No; PIA: Not published
Data needed
The case owner relied on DOJ AI governance practices to select and prepare data, as well as evaluate performance.