SSA · no agency ID · record R3102

Social Security Income (SSI) Redetermination Model

Social Security Administration · Chief Information Officer, Analytics and Improvements

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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: High-impactSource: a) High-impact
Impact justification: Not reported
Start date: 1999-01-01 (day precision)Source: 1/1/1999 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 SSI overpayment cases that have highest expected overpayments for review.

Expected benefits

Helps prioritize important program activities and contributes to overall public program efficiency and effectiveness.

System outputs

The system outputs numerical scores for individuals, comprised of likelihood and amount of overpayment.

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): SSIRZ
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: Yes
Privacy Impact Assessment: Not reported
Authorization to Operate: No
Demographic features: Not reported
Training and evaluation data: Model used data from SSI Redetermination Data Sets
Federal Data Catalog: Not reported

Governance

8 of 8 minimum-practice questions answered. A blank answer means the agency reported nothing; it does not mean the practice is absent.

Pre-deployment testingReported in placeSource: a) Yes

AI impact assessmentReported in placeSource: a) Yes

Independent reviewReported in placeSource: c) Yes – by the CAIO

Ongoing monitoringReported in placeSource: a) Yes, sufficient monitoring protocols have been established

Operator trainingReported in placeSource: a) Yes, sufficient and periodic training has been established

Fail-safeReported in placeSource: a) Yes

Appeal processNot applicableSource: b) Not applicable

User and public consultationOther or ambiguous answerSource: d) Other

Potential impacts and how they were identified

Prioritizes SSI Discretionary Non-Medical Redeterminations; maximizes overpayment preventions and recoveries leading to greater programmatic overpayment preventions and recoveries compared to random selection of cases for non-medical redetermination.? Discretionary redeterminations are conducted at scheduled intervals (typically every 1 to 6 years) to review a recipient’s nonmedical SSI eligibility factors (for example, income, resources, living arrangements) to determine whether the recipient is still eligible for SSI and is receiving the correct payment amount. By contrast, non-discretionary redeterminations are triggered by significant life changes (for example, turning 18 years of age, marriage). Redeterminations are distinct from disability reviews, which focus solely on the medical qualifications of individuals receiving benefits.