Automated Name and Date of Birth (DOB) Harvesting Service
Description
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.
Detailed example
Suggested Names and DOBs from IdHS record.
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
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.
Audit / financial statement impact
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.
Controls / human review
ATO: Yes; PIA: https://www.dhs.gov/publication/dhsuscispia-056-uscis-electronic-immigration-system-uscis-elis
Data needed
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.