BRAVO Classification
Description
Uses statistical techniques to predict potential for misconduct for newly admitted inmates. In turn, this prediction is used to assign appropriate security levels.
Detailed example
AUC score showing the degree to which the instrument correctly discriminates between those who commit misconduct and those who do not.
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 inmates' security level will decrease the level of misconduct towards other inmates and staff.
Controls / human review
ATO: Yes; PIA: Not published
Data needed
The case owner relied on DOJ AI governance practices to select and prepare data, as well as evaluate performance.