DHS · DHS-2605 · record R1987

Lexis Nexis

Department of Homeland Security · TSA

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Overview

Development stage: DeployedSource: c) Deployed – The use case is being actively authorized or utilized to support the functions or mission of an agency.
High-impact designation: Not high-impactSource: c) Not high-impact
Impact justification: Not reported
Start date: 2024-09-23 (day precision)Source: 2024-09-23T00:00:00
Withheld from public reporting: Not reported

Mission

Topic area: Transportation
Operational functions: Fraud, waste and improper payments, Biometrics and identity Derived by keyword rules; see methodology

Problem the AI is intended to solve

Identity verification for passenger screening and bolster transportation security.

Expected benefits

Lexis Nexis assists TSA Analysts in identity verification for passenger screening and bolster transportation security.

System outputs

The AI outputs are in the form of a person, vehicular, or dwelling report that is custom based on analysts inputs and selections. These reports are used by TSA to assist in the verification of traveler identities detecting fraudulent documents and ensuring compliance with security protocols.

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: No
Public source code: Not reported

Sourcing

How it was built: Purchased from vendorSource: a) Purchased from a vendor
Vendor (as reported): REX DBA Lexis Nexis
Vendors (standardized): LexisNexis

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

Data and privacy

Involves PII: No
Privacy Impact Assessment: Not reported
Authorization to Operate: No
Demographic features: Not reported
Training and evaluation data: AI models are trained using a combination of open web content and proprietary LexisNexis content to ensure high-quality, relevant outputs. Evaluations occur through regular internal and external audits, customer feedback and reviews, and incident response.
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