{
  "record": {
    "id": "f0ab9fec-4be5-4ab1-b113-b9e43e8da521",
    "code": "PAI-F0AB9FEC",
    "force": "Organized Crime Drug Enforcement Task Forces (US Department of Justice)",
    "country": "United States",
    "country_code": "us",
    "is_country": true,
    "region": "Nationwide",
    "technology": "Machine learning to prioritise proposed Homeland Security Task Force investigations",
    "technology_slug": "police-data-integration-platforms",
    "vendor": "",
    "vendor_slug": "",
    "programme": "",
    "status": "proposed",
    "stage": "horizon",
    "evidence": "official",
    "evidence_is_claim": false,
    "since": "",
    "legal_basis": "",
    "oversight": "",
    "notes": "The Justice Department's 2025 AI use case inventory (entry DOJ-0189, as consolidated by the Office of Management and Budget) lists 'Machine Learning for Decision Support for DOJ MIS' as pre-deployment, with no operational date. The entry says machine learning would order proposed investigations for prioritised review, approval and possible case designation against set success criteria. It lists the stage as pre-deployment and classes the use as high-impact.",
    "source": "Office of Management and Budget, 2025 federal AI use case inventory (DOJ-0189)",
    "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/f0ab9fec-4be5-4ab1-b113-b9e43e8da521"
  },
  "licence": "https://www.policeainews.com/data#licence"
}