FINDER
Description
The purpose of the AI use case in FINDER is to sift through violent crime and firearms trafficking data more efficiently. By employing machine learning to highlight significant patterns, suspects, or trends, it automates tasks that would normally require manual, resource-intensive reviews. This leads to quicker identification of essential insights, improves operational effectiveness, and ensures that effort is directed at the most pertinent leads, enhancing both speed and precision in investigative processes.
Detailed example
The AI features map trends, highlight recurrent factors, and propose focus points, reducing manual data reviews.
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
The expected benefit is more strategic attention to areas that may reduce negative outcomes or enhance preparedness.
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.