TREAS · TREAS-IRS-59 · record R2843

Identity Verification

Department of the Treasury · Internal Revenue Service (IRS)

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: The output is not presumed to be high-impact and is not used as the principal basis for significant decisions/actions
Start date: 2021-06-20 (day precision)Source: 6/20/2021
Withheld from public reporting: NoSource: a) No

Mission

Topic area: Service Delivery
Operational functions: Fraud, waste and improper payments, Biometrics and identity Derived by keyword rules; see methodology

Problem the AI is intended to solve

Improves identity document verification process for IRS users who complete the registration process. The expected benefit of this AI use case is to detect submissions of forged identity documents.

Expected benefits

Improvements to identity verification process to enable taxpayers to access IRS online services.

System outputs

Confidence threshold based on output from multiple machine learning models that result in a binary fraud indication, True/False; Indication of fraud is confirmed with human review.

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): Not reported
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): 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: No
Privacy Impact Assessment: Not reported
Authorization to Operate: Yes
Demographic features: k) None of the above
Training and evaluation data: Proprietary to the vendor
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