Customs Broker License Exam - Proctor Support
Description
Detect potential cheating during the Customs Broker License Exam.
Detailed example
Integrity reports, identity confirmation, proctoring complicance feedback, and test results.
AI / analytics pattern
Computer Vision: AI that processes and interprets visual data (e.g., images and videos).
Automation level / stage
c) Deployed – The use case is being actively authorized or utilized to support the functions or mission of an agency.
Expected benefit
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.
Audit / financial statement impact
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.
Controls / human review
ATO: No; PIA: https://www.dhs.gov/sites/default/files/2023-04/privacy-pia-cbp077-bmp-march2023.pdf.pdf
Data needed
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.