Intelligent Document Processing

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

2019-06-01 (day precision)Source: 2019-06-01T00:00:00

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

This use case intends to solve the problem of the manual effort required to validate and extract data from forms.

Expected benefits

Business units within ICE leverage these services to automate repeatable, time-consuming processes such as invoice processing, and form entry validation and extraction. This platform will provide Optical Character Recognition and machine learning models to verify, extract, and classify information from ICE forms. Using AI to provide information extraction for these processes saves ICE personnel a significant amount of time while improving data quality and enabling automation.

System outputs

This platform will provide Optical Character Recognition and machine learning models to verify, extract, and classify information from ICE forms.

Technology

AI classification

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

System name(s)

Enterprise Robotic Process Automation; Student and Exchange Visitor Program Automated Management System, ICE Office of the Principal Legal Advisor Case Management System

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)

UiPath; Microsoft; Apryse; Personable Inc.

Vendors (standardized)

MicrosoftUUiPath

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

Not reported

Authorization to Operate

Yes

Demographic features

Not reported

Training and evaluation data

ICE’s document understanding platforms provide out-of-the box models to verify and/or extract information from a variety of document types. These platforms also include the ability to create an ML feedback loop to tailor the models to try to improve the accuracy in extracting data fields from multiple document types. In this scenario, ICE would fine-tune the document understanding model using the documents submitted to the understanding workflow.

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