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Snapshot · OMB 2025 inventory · processed Oct 11, 2026
SSA · no agency ID · record R3099

Modernized Development Worksheet (MDW)

Social Security Administration · Chief Information Officer, Analytics and Improvements

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
2023-12-01 (day precision)Source: 12/1/2023 0:00
Withheld from public reporting
NoSource: a) No

Mission

Topic area
Government Benefits Processing
Operational functions
Claims and case processing Derived by keyword rules; see methodology

Problem the AI is intended to solve

This AI use case reviews data during case development so it can be better categorized. The use case reduces processing time and customer wait times.

Expected benefits

Reduce considerable workloads from the Processing Centers by eliminating the manual categorization of MDWs

System outputs

Labels and categorizes new or updated MDW requests

Technology

AI classification
Classical / predictive MLSource: Classical/Predictive Machine Learning: Models trained on data to make predictions or classifications based on identified patterns or relatio…
System name(s)
MDW using Natural Language Processing (NLP)
Custom-developed code
Yes
Public source code
No

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
No
Authorization to Operate
No
Demographic features
k) None of the above
Training and evaluation data
Model trained from case development worksheets prepared by SSA employees.
Federal Data Catalog
No

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