Spokeo
Description
The purpose of the AI use case in Spokeo is to aggregate and enrich publicly accessible personal data to create comprehensive profiles. AI-based entity resolution, data linkage, and pattern recognition automate the task of piecing together scattered details. This significantly reduces manual workload, sharpens the accuracy of identifying individuals of interest, and ensures that investigative energies are invested where they can yield the most valuable insights.
Detailed example
The AI features assemble contact info, historical records, and related data into a cohesive presentation.
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 quicker access to comprehensive background details, easily identifying individuals of interest.
Audit / financial statement impact
Does not produce an output that serves as a principal basis for decisions or actions with legal, material, binding, or significant effect on any of the individuals or entities identified in OMB-25-21.
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.