Federal AI Intelligence
Menu
Snapshot · OMB 2025 inventory · processed Oct 11, 2026
SSA · no agency ID · record R3097

Duplicate Identification Process

Social Security Administration · Chief Information Officer

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
2019-09-01 (day precision)Source: 9/1/2019 0:00
Withheld from public reporting
NoSource: a) No

Mission

Topic area
Government Benefits Processing
Operational functions
No function tag matched Derived by keyword rules; see methodology

Problem the AI is intended to solve

This AI use case identifies, flags, and marks duplicates, reducing the amount of time spent to review cases for hearings.

Expected benefits

The use case improves efficiency and accuracy of disability determinations/decisions.

System outputs

This AI use case identifies, flags, and marks duplicates, reducing the amount of time spent to review cases for hearings.

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)
DIP
Custom-developed code
No
Public source code
Not reported

Sourcing

How it was built
Purchased from vendorSource: a) Purchased from a vendor
Vendor (as reported)
Hyperscience
Vendors (standardized)
Hyperscience

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
Not reported
Authorization to Operate
Yes
Demographic features
Not reported
Training and evaluation data
No Agency data used for training
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