Intelligent Document Processing (IDP) for I-539 Form Digitization

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

Not high-impactSource: c) Not high-impact

Impact justification

Not reported

Start date

2024-11-04 (day precision)Source: 2024-11-04T00:00:00

Withheld from public reporting

Not reported

Mission

Topic area

Administrative Functions

Operational functions

Document processing and extraction Derived by keyword rules; see methodology

Problem the AI is intended to solve

Before the use case, all pages of a I-539 application were scanned and stored as a single document in the content management system, delaying adjudication and not meeting National Archives and Records Administration (NARA) standards. The tool uses a learning model to identify, classify, and separate individual documents into their component parts for storage.

Expected benefits

IDP for the I-539 makes use of an AI-enhanced tool to identify, categorize, and create separate images for each document type submitted as part of the 539 benefit application. Prior to implementation of this use case, all pages of a 539 application were scanned and stored as a single document in the content management system. The benefit is reduced case processing time for adjudicators by identifying and classifying supporting documents for ease of use. An additional benefit is to bring digital images into compliance with NARA standards.

System outputs

Input - one digital file comprised of all pages of a 539 benefit application. Output - multiple digital files comprised of the individual documents submitted as part of the 539 benefit application. These will include the 539 form, any other USCIS forms, and image files of other supporting documents such as Passports, Driver's license, Marriage Certificate, Bank Statement, etc. All pages of the original digital file are accounted for and stored. Any pages not identified by the tool are referred to a human for document type resolution.

Technology

AI classification

Computer visionSource: Computer Vision: AI that processes and interprets visual data (e.g., images and videos).

System name(s)

Content Management Services (CMS)

Custom-developed code

No

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)

CGI Federal under the Records Management Support Services (RMSS); Hyperscience - IDP software OEM

Vendors (standardized)

HHyperscience

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

CMS/STACKS test data is used to train the model. This data is comprised of digital images of blank USCIS forms and common supporting forms (Marriage License, Driver's License, Passport, ect.) generated using fake information such as Mickey Mouse and Donald Duck in place of PII.

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