Named Entity Resolution for Investigative Data
Description
The AI is intended to solve the problem of investigators having to manually identify and normalize entities such as names, locations, and other selectors in large volumes of investigative text data, which is slow and makes it difficult to run accurate, consistent searches.
Detailed example
The outputs of this AI solution are the identified and extracted entities, which investigators use to refine search results and improve investigative workflows. Homeland Security Investigations may use the solution to generate leads, with further action required by investigators and analysts as part of the full investigative process before any action is taken against an individual.
AI / analytics pattern
Generative AI: AI that generates new or synthetic content (e.g., images, videos, audio, text, code).
Automation level / stage
a) Pre-deployment – The use case is in a development or acquisition status.
Expected benefit
The benefits of using this AI include increased search accuracy, enhanced data analysis capabilities, and the ability to handle domain-specific entities more effectively.
Controls / human review
ATO: Not reported; PIA: Not published