{
  "record": {
    "id": "a774162b-05cd-432f-82ff-417c306dff30",
    "code": "PAI-A774162B",
    "force": "Transportation Security Administration",
    "country": "United States",
    "country_code": "us",
    "is_country": true,
    "region": "Airports",
    "technology": "Low Probability of False Alarm algorithm for advanced imaging body scanners (Leidos, Rohde & Schwarz)",
    "technology_slug": "ai-weapons-detection",
    "vendor": "Leidos, Rohde & Schwarz",
    "vendor_slug": "",
    "programme": "",
    "status": "operational",
    "stage": "in-use",
    "evidence": "official",
    "evidence_is_claim": false,
    "since": "December 2022",
    "legal_basis": "",
    "oversight": "",
    "notes": "The DHS 2025 AI Use Case Inventory (entry DHS-135, as consolidated by the Office of Management and Budget) lists 'Low Probability of False Alarm (Low-Pfa) Algorithm for on-person screening.' as deployed. The entry says the algorithm shows threat locations as a box on a representative human figure for the operator, aiming to cut alarm and touch rates by 50%. It gives an operational date of 12 December 2022 and classes the use as high-impact. The inventory separately lists, as pre-deployment and high-impact, further automated target recognition developments for advanced imaging scanners in standard screening (DHS-131), meant to increase detection and reduce false alarms so that officers no longer need to view the scanner images.",
    "source": "Office of Management and Budget, 2025 federal AI use case inventory (DHS-135, DHS-131)",
    "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/a774162b-05cd-432f-82ff-417c306dff30"
  },
  "licence": "https://www.policeainews.com/data#licence"
}