DHS · DHS-2453 · record R1980

ESEC Inquiry (STORM) Summarization

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: 2024-12-13 (day precision)Source: 2024-12-13T00:00:00
Withheld from public reporting: Not reported

Mission

Topic area: Administrative Functions
Operational functions: Summarization Derived by keyword rules; see methodology

Problem the AI is intended to solve

This use case is intended to decrease the time it takes to enter incoming requests into Storm. By summarizing the request, analysts are able to more quickly take action and assign to relevant parties. It will also lead to future capabilities to draft responses to those requests.

Expected benefits

ESEC-STORM AI employs Generative Artificial Intelligence (Gen-AI) technology to automate the creation of document summaries. This advanced system facilitates the automatic integration of these summaries into the System of Tracking, Operations, and Record Management (STORM), thereby optimizing the management of correspondence and information requests.

System outputs

When a user creates a new work package and uploads a letter, it activates a Power Apps workflow that creates a summary.

Technology

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

Sourcing

How it was built: Contract and in-houseSource: c) Developed with both contracting and in-house resources
Vendor (as reported): Microsoft
Vendors (standardized): Microsoft

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: The commercial models used for this use case were trained using a diverse range of publicly available data, including text from books, articles, websites, and other sources and data types.
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