{
  "record": {
    "id": "9c011601-c479-4d45-aeba-ec4955719465",
    "code": "PAI-9C011601",
    "force": "US Customs and Border Protection",
    "country": "United States",
    "country_code": "us",
    "is_country": true,
    "region": "Nationwide",
    "technology": "Passenger Security Assessment Model (Automated Targeting System)",
    "technology_slug": "individual-risk-scoring",
    "vendor": "",
    "vendor_slug": "",
    "programme": "",
    "status": "operational",
    "stage": "in-use",
    "evidence": "official",
    "evidence_is_claim": false,
    "since": "April 2013",
    "legal_basis": "",
    "oversight": "",
    "notes": "The DHS 2025 AI Use Case Inventory (entry DHS-2389, as consolidated by the Office of Management and Budget) lists 'Passenger Security Assessment Model' as deployed. The entry says an in-house machine learning model gives real-time passenger risk assessments and recommendations inside the Automated Targeting System, aimed mainly at narcotics interdiction, using data held in the system's Unified Passenger module. It lists sex and age among the demographic features used. DHS classes the use as high-impact.",
    "source": "Office of Management and Budget, 2025 federal AI use case inventory (DHS-2389)",
    "source_url": "https://github.com/ombegov/2025-Federal-Agency-AI-Use-Case-Inventory/blob/main/Data/2025_individually_reported_AI_use_cases.csv",
    "last_checked": "2026-11-06",
    "record_url": "https://www.policeainews.com/tracker/record/9c011601-c479-4d45-aeba-ec4955719465"
  },
  "licence": "https://www.policeainews.com/data#licence"
}