Whooster
Description
The purpose of the AI use case in Whooster is to integrate and analyze data from multiple sources to build comprehensive profiles on persons or entities of interest. AI-driven entity resolution, relationship mapping, and data enrichment help automate what would otherwise be manual, time-consuming cross-referencing. This improves the speed and accuracy of identifying relevant connections, ensures more targeted follow-up, and optimizes the allocation of investigative resources.
Detailed example
The AI features compile profiles, highlight relationships, and present context, ensuring key info is easily accessible.
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 effective use of time, focusing on particularly relevant subjects.
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.