DHS · DHS-2584 · record R1852

Named Entity Resolution for Investigative Data

Department of Homeland Security · ICE

Overview

Development stage: In development or acquisitionSource: a) Pre-deployment – The use case is in a development or acquisition status.
High-impact designation: Not high-impactSource: c) Not high-impact
Impact justification: Not reported
Start date: Not reported
Withheld from public reporting: Not reported

Mission

Topic area: Law Enforcement
Operational functions: No function tag matched Derived by keyword rules; see methodology

Problem the AI is intended to solve

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.

Expected benefits

The benefits of using this AI include increased search accuracy, enhanced data analysis capabilities, and the ability to handle domain-specific entities more effectively.

System outputs

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.

Technology

AI classification: Generative AISource: Generative AI: AI that generates new or synthetic content (e.g., images, videos, audio, text, code).
System name(s): Not reported
Custom-developed code: Not reported
Public source code: Not reported

Sourcing

How it was built: Not reported
Vendor (as reported): Not reported
Vendors (standardized): None on the standard list

A vendor is the supplier named by the agency. It does not identify the underlying model or AI technology.

Data and privacy

Involves PII: Not reported
Privacy Impact Assessment: Not reported
Authorization to Operate: Not reported
Demographic features: Not reported
Training and evaluation data: Not reported
Federal Data Catalog: Not reported

Governance

0 of 8 minimum-practice questions answered. A blank answer means the agency reported nothing; it does not mean the practice is absent.

Pre-deployment testingNo answer reported

AI impact assessmentNo answer reported

Independent reviewNo answer reported

Ongoing monitoringNo answer reported

Operator trainingNo answer reported

Fail-safeNo answer reported

Appeal processNo answer reported

User and public consultationNo answer reported

Potential impacts and how they were identified

Not reported