DOT · DOT-1000084 · record R1269

Public Comment Analyzer (PCA)

Department of Transportation · OST

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: 2025-02-14 (day precision)Source: 02/14/2025 12:00:00 AM
Withheld from public reporting: NoSource: a) No

Mission

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

Problem the AI is intended to solve

The business goal of this project is to use a powerful language model to analyze public comments. The model will: • Categorize comments into different topics • Detect the sentiment (positive, negative, or neutral) of the comments • Generate summaries of the comments • Provide daily updates on the comments • Allow secure access to the information

Expected benefits

The anticipated benefits are: Improve the accuracy of the analysis; reduction of human analysis required to review all public comments; streamline the process of reviewing comments; keep feedback up to date to help inform decision making. It will allow subject matter experts (SMEs) to more quickly review summaries of the submitted comments and obtain additional details where and as needed. It will also provide SMEs with the general sentiments of public comments

System outputs

Data is available on Regulations.gov.

Technology

AI classification: Agentic AISource: Agentic AI: AI systems that perform tasks or make decisions autonomously with minimal human intervention.
System name(s): Not reported
Custom-developed code: No
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): 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