First Two
Description
The purpose of the AI use case in First Two is to link individuals to specific locations and visualize spatial relationships that might be important. By automating map-based data correlation, pattern discovery, and geospatial analysis, the system reduces manual data plotting and interpretation. This results in quicker recognition of significant activity areas, improved allocation of resources to critical locations, and overall enhancement of operational responsiveness and strategic planning.
Detailed example
The AI features visualize activity geographically, spotlight frequent places, and suggest beneficial attention areas.
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 efficient focus on frequently visited places/people, enhancing resource allocation where location matters.
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.