DHS · DHS-2433 · record R1979

DHS-Chat

Department of Homeland Security · MGMT

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: 2024-12-12 (day precision)Source: 2024-12-12T00:00:00
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

DHS personnel need a reliable solution to quickly access accurate information, process documents, and support work tasks within the DHS Workspace. Existing workflows are often time-consuming and inefficient, and there is a need to streamline operations while maintaining compliance with security requirements.

Expected benefits

This is a chatbot based on a Large Language Models (LLM) for internal DHS employee use - It's like chat-GPT for DHS but approved for use with non-classified but internal information (this includes FOUO (For Official Use Only) CUI (Controlled Unclassified Information) due to its improved security compared to publicly available chatbots. This tool is able to dynamically create written content through text prompts submitted by the user. Approved applications of this tool to DHS business include generating first drafts of documents that a human would subsequently review, conducting and synthesizing research on open-source information and internal documents, and developing briefing materials or preparing for meetings and events.

System outputs

The internally available generative AI tool outputs text based on the users input.

Technology

AI classification: Generative AISource: Generative AI: AI that generates new or synthetic content (e.g., images, videos, audio, text, code).
System name(s): DHSChat
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: No
Privacy Impact Assessment: Not reported
Authorization to Operate: Yes
Demographic features: Not reported
Training and evaluation data: No agency-owned data was used to train, fine-tune, or evaluate the model. The model was trained on publicly available datasets and general knowledge up to the specified cutoff date. No DHS-specific or agency-owned data was incorporated during model development.
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