{
  "record": {
    "id": "c444a87e-d7b5-4b30-889c-3149bb58cbe3",
    "code": "PAI-C444A87E",
    "force": "US Department of the Interior Office of Inspector General",
    "country": "United States",
    "country_code": "us",
    "is_country": true,
    "region": "Nationwide",
    "technology": "Anomaly detection for financial transactions in Interior programmes (pilot)",
    "technology_slug": "police-data-integration-platforms",
    "vendor": "",
    "vendor_slug": "",
    "programme": "",
    "status": "trial",
    "stage": "in-use",
    "evidence": "official",
    "evidence_is_claim": false,
    "since": "April 2025",
    "legal_basis": "",
    "oversight": "",
    "notes": "The 2025 AI use case inventory of the Department of the Interior (entry DOI-0010, as consolidated by the Office of Management and Budget) lists 'Anomaly Detection for Financial Transactions Related to DOI Programs' as a pilot. The entry describes a pilot of classical machine learning to find anomalous transactions in financial data from Interior programmes, aligned with standards for audits and investigations, with outputs passed to auditors or law enforcement analysts and agents to review or act on. It gives an operational date of 1 April 2025, classes the use as not high-impact and files it under 'Other' rather than law enforcement.",
    "source": "Office of Management and Budget, 2025 federal AI use case inventory (DOI-0010)",
    "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/c444a87e-d7b5-4b30-889c-3149bb58cbe3"
  },
  "licence": "https://www.policeainews.com/data#licence"
}