Automated Name and Date of Birth (DOB) Harvesting Service

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

Presumed high-impact, determined notSource: b) Presumed high-impact, but determined not high impact

Impact justification

The use case improves case processing efficiency by reducing the amount of time USCIS staff must spend to manually find aliases and dates of birth (DOBs) in existing records of an individual. The AI outputs do not serve as a principal basis for a decision or action concerning a specific individual or entity that has a legal, material, binding, or similarly significant effect on that individual’s or entity’s civil rights, civil liberties or privacy, equal opportunities, or access to or the ability to apply for critical government resources or services. The use case increases efficiency of tasks associated with accurate and timely identification, analysis, and review of biographical information needed for adjudication. The AI outputs are suggested aliases and DOBs related to the individual query, which USCIS staff must review to accept, reject, or ignore the suggested information. The AI outputs reduce the amount of adjudicative time spent manually harvesting aliases and DOBs. The use case increases efficiency of tasks associated with reviewing existing records for adjudicating requests for immigration benefits. Completing such adjudications are not dependent on the use case however lack of this tool would significantly increase human processing times and potentially reduce the accuracy of information consulted during the human review process.

Start date

2022-06-27 (day precision)Source: 2022-06-27T00:00:00

Withheld from public reporting

Not reported

Mission

Topic area

Service Delivery

Operational functions

Claims and case processing Derived by keyword rules; see methodology

Problem the AI is intended to solve

Adjudicators spend significant amount of time manually harvesting aliases and dates of birth (DOBs) from identity history summary (IdHS) report attached to the ELIS case as part of the Manual Name Harvesting Task during case processing.

Expected benefits

To reduce the amount of adjudicative time spent manually harvesting aliases and dates of birth (DOBs) from identity history summary (IdHS) report attached to the ELIS case as part of the Manual Name Harvesting Task during case processing.

System outputs

Suggested Names and DOBs from IdHS record.

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)

ELIS

Custom-developed code

Yes

Public source code

Not reported

Sourcing

How it was built

Contract and in-houseSource: c) Developed with both contracting and in-house resources

Vendor (as reported)

SAIC and DV United

Vendors (standardized)

SAIC

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

www.dhs.gov ↗

Authorization to Operate

Yes

Demographic features

Not reported

Training and evaluation data

Training and evaluation for ANH was performed using a large set of previously annotated IdHS records (raw text) in a secure environment separate from our standard development environment. The system uses Spark NLP and distilbert embeddings for the model input, so no raw text from these files is stored or accessible from the final model or associated logged artifacts. Annotations were sourced from results of previously completed manual name harvesting tasks.

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.

Potential impacts and how they were identified

Not reported