SSA · no agency ID · record R3095

Insight

Social Security Administration · Chief Information Officer, Disability Information Systems

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: 2017-10-01 (day precision)Source: 10/1/2017 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 is decision support software used by hearings and appeals-level Disability Program adjudicators to help maximize the quality, speed, and consistency of their decision making. The use case analyzes the free text of disability decisions and other case data to offer adjudicators real-time alerts on potential quality issues and case-specific reference information within a web application. The use case increases decision quality and reduces human error.

Expected benefits

The use case increases decision quality and reduces human error.

System outputs

Insight provides 43 Quality flags, when raised, indicating various inconsistencies, omissions, or Policy non-compliant conditions that exist in the disability decision.

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): Insight
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: Yes
Demographic features: Not reported
Training and evaluation data: Manually curated data sets based on random sampling methodology of hearing and appeals case processing management information
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