DHS · DHS-2559 · record R1849

Duplicate Contract Detection in Contract Tracking Application

Department of Homeland Security · ICE

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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: Administrative Functions
Operational functions: No function tag matched Derived by keyword rules; see methodology

Problem the AI is intended to solve

This use case intends to solve the problem of inefficiencies and redundancies in contract management.

Expected benefits

The use of AI in contract management reduces the time it takes to manually inspect contracts and improves COT's ability to identify duplicative contracts. This implementation will reduce contract costs and aligns with federal procurement consolidation and cost-efficiency initiatives.

System outputs

The primary outputs of the AI system are alerts and reports. When the AI detects a potential duplicate contract, it generates an alert for the user. Additionally, the AI can produce detailed reports that highlight the identified duplicates and provide relevant contract details.

Technology

AI classification: Natural language processingSource: Natural Language Processing: AI that processes, interprets, and shares information in human language.
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