The Advanced Trade Analytics Platform (ATAP)
Description
ATAP aims to provide insights into trends and behaviors in trade activity to support a proactive risk management and enforcement posture in the agency’s mission execution.
Detailed example
Model output is provided in dashboards and other visualization mechansims for operator assessment and action determination.
AI / analytics pattern
Classical/Predictive Machine Learning: Models trained on data to make predictions or classifications based on identified patterns or relationships.
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
To create efficiencies and unlock key insights in CBP's trade mission execution through the application of data analytics, machine learning, and AI.
Audit / financial statement impact
The AI outputs do not produce an action or serve as a principal basis for a decision that has the potential to significantly impact the safety of human-life or well-being, climate or environment, critical infrastructure, or strategic assets or resources. Additionally, 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.
Controls / human review
ATO: Yes; PIA: Not published
Data needed
ATAP relies on CBP source system information from CBP's ACE, ATS, and SEACATS systems, including import/export filing information, compliance reviews, targeting, seizure, and fine/penalty information.