Customs Broker License Exam - Proctor Support

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

Presumed high-impact, determined notSource: b) Presumed high-impact, but determined not high impact

Impact justification

This is not a high impact case because this would only be used in for examinees taking the Customs Broker License Exam and not used in requests for federal services, processes, and benefits to include loans and access to public housing. This is just a feature that the CBP exam vendor uses to detect cheating during the exam.

Start date

2023-03-31 (day precision)Source: 2023-03-31T00:00:00

Withheld from public reporting

Not reported

Mission

Topic area

Human Resources

Operational functions

No function tag matched Derived by keyword rules; see methodology

Problem the AI is intended to solve

Detect potential cheating during the Customs Broker License Exam.

Expected benefits

The model supports remote proctoring of the exam and ensure the integrity of the testing process, by ensuring the exam is conducted under secure conditions, preventing cheating or fraud, while also verifying the identity of exam takers to confirm they meet the necessary requirements.

System outputs

Integrity reports, identity confirmation, proctoring complicance feedback, and test results.

Technology

AI classification

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

System name(s)

Not reported

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)

PDRI

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

Yes

Privacy Impact Assessment

www.dhs.gov ↗

Authorization to Operate

No

Demographic features

Not reported

Training and evaluation data

PDRI trains its AI models for assessments by combining expert human ratings with robust data, using seasoned raters to score responses first, then training AI on these expert-validated examples, and continuously testing the AI's outputs against human judgments to ensure accuracy, fairness, and adherence to psychological testing standards.

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