Identity Verification
Description
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.
Detailed example
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.
AI / analytics pattern
Classical/Predictive Machine Learning: Models trained on data to make predictions or classifications based on identified patterns or relationships.
Automation level / stage
c) Deployed – The use case is being actively authorized or utilized to support the functions or mission of an agency.
Expected benefit
Improvements to identity verification process to enable taxpayers to access IRS online services.
Audit / financial statement impact
The output is not presumed to be high-impact and is not used as the principal basis for significant decisions/actions
Controls / human review
ATO: Yes; PIA: Not published
Data needed
Proprietary to the vendor