Extended Automated Name Harvesting (eANH)
Description
OIT is developing a solution that systematically extracts text from evidence documents, identifies aliases and DOBs from the extracted text.
Detailed example
Extracted names and DOBs
AI / analytics pattern
Natural Language Processing: AI that processes, interprets, and shares information in human language.
Automation level / stage
a) Pre-deployment – The use case is in a development or acquisition status.
Expected benefit
Since users no longer need to read through the entire set of case evidence, which is often hundreds of pages, this should decrease case processing time while retaining the same or better performance.
Audit / financial statement impact
No. 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 the 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: Not reported; PIA: Not published