DHS · DHS-2627 · record R1815
Extended Automated Name Harvesting (eANH)
Department of Homeland Security · USCIS
Overview
- Development stage
- In development or acquisitionSource: a) Pre-deployment – The use case is in a development or acquisition status.
- High-impact designation
- Presumed high-impact, determined notSource: b) Presumed high-impact, but determined not high impact
- Impact justification
- 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.
- Start date
- Not reported
- Withheld from public reporting
- Not reported
Mission
- Topic area
- Government Benefits Processing
- Operational functions
- Document processing and extraction Derived by keyword rules; see methodology
Problem the AI is intended to solve
OIT is developing a solution that systematically extracts text from evidence documents, identifies aliases and DOBs from the extracted text.
Expected benefits
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.
System outputs
Extracted names and DOBs
Technology
- AI classification
- Natural language processingSource: Natural Language Processing: AI that processes, interprets, and shares information in human language.
- System name(s)
- Not reported
- Custom-developed code
- Not reported
- Public source code
- Not reported
Sourcing
- How it was built
- Not reported
- 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
- Not reported
- Privacy Impact Assessment
- Not reported
- Authorization to Operate
- Not reported
- Demographic features
- Not reported
- Training and evaluation data
- Not reported
- 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