SSA · no agency ID · record R3127

AI Comment Analysis

Social Security Administration · Chief Information Officer

Overview

Development stage: PilotSource: b) Pilot – The use case has been deployed in a limited test or pilot capacity.
High-impact designation: Not high-impactSource: c) Not high-impact
Impact justification: Not reported
Start date: 2025-09-21 (day precision)Source: 9/21/2025
Withheld from public reporting: NoSource: a) No

Mission

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

Problem the AI is intended to solve

The AI comment analysis system supports the decision-making of SSA public comment reviewing staff by making preliminary designations as to whether a given public comment (or select attachment content) contains any of a set of predefined types of flagged content, such as personally identifiable information (PII), offensive content, and other staff-defined categories. The process of reviewing public contents, which can sometimes volumes in the hundreds of thousands, is slow and resource intensive for the agency. The AI system helps streamline the process by directing staff attention to areas of potential interest.

Expected benefits

Improved efficiency of public comment review compared to purely manual methods. Potential improvements to the consistency and quality of comment review decision-making by introducing a consistent preliminary screen to support decision-making.

System outputs

The system outputs a spreadsheet containing a catalog of comment content reviewed, designations as to whether the AI model concluded each targeted form of content was or was not present. If deemed present, it provides quotations of specific comment content that informed its decision.

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: No
Privacy Impact Assessment: Not reported
Authorization to Operate: No
Demographic features: Not reported
Training and evaluation data: No SSA data is used to train the model
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