DHS · DHS-2530 · record R1957

ChatCBP

Department of Homeland Security · CBP

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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: 2025-07-30 (day precision)Source: 2025-07-30T00:00:00
Withheld from public reporting: Not reported

Mission

Topic area: Information Technology
Operational functions: Summarization Derived by keyword rules; see methodology

Problem the AI is intended to solve

Workforce enablement and efficiency.

Expected benefits

Improving Operational Efficiency: Automating information retrieval, reducing manual review time, and streamlining workflows will lead to significant time savings and increased productivity for CBP personnel. This translates to cost savings and allows agents to focus on higher-priority tasks. Enhancing Decision-Making: Providing quick and accurate access to relevant information will improve the quality and consistency of decisions across the agency. Increasing Mission Effectiveness: By applying LLM capabilities to critical use cases like hot list review and violation coding, we can enhance accuracy, reduce errors, and improve overall mission success rates.

System outputs

Generative LLM that will allow users to upload, search, delete, summarize documents, conduct advanced searches, and identify similar language in documents and receive natural language-style outputs in response to their prompts.

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: Yes
Public source code: Not reported

Sourcing

How it was built: Developed in-houseSource: b) Developed in-house
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: Yes
Privacy Impact Assessment: Not reported
Authorization to Operate: No
Demographic features: Not reported
Training and evaluation data: Internal CBP document samples are used to test the efficacy and accuracy of performance of chatCBP.
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