SSA · no agency ID · record R3100

Pre-Effectuation Review (PER) / Targeted Denial Review (TDR) Models

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: High-impactSource: a) High-impact
Impact justification: Not reported
Start date: 2003-12-01 (day precision)Source: 12/1/2003 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 high likelihood of error in certain claims and refers them for review. This use case reduces incorrect benefits payment.

Expected benefits

Pre-Effectuation Review (PER) and Targeted Denial Review (TDR) benefit public, taxpayers, and claimants in ensuring that SSA provides benefits for those who qualify for benefits based on the SSA policy and guidelines.

System outputs

Probability scores via an in-line mainframe process

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): PER TDR
Custom-developed code: No
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: Not reported
Authorization to Operate: No
Demographic features: c) Age
Training and evaluation data: Models use administrative data for Title II (retirement, survivors, and disability benefits) and Title XVI (Supplemental Security Income) programs including form SSA-831 (Disability Determination and Transmittal) data.
Federal Data Catalog: It is not publicly disclosed.

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-safeNot applicableSource: b) Not applicable

Appeal processReported in placeSource: a) Yes, an appropriate appeal process has been established

User and public consultationOther or ambiguous answerSource: d) Other

Potential impacts and how they were identified

False positives for the models may impact a claimant's accurate processing of their application. Ideally we would like only those qualifying for benefits should get on and remain on the rolls.