{
  "record": {
    "id": "a41d8734-ba0c-40d6-b775-9a4b3d6c950a",
    "code": "PAI-A41D8734",
    "force": "Casa Grande Police Department",
    "country": "United States",
    "country_code": "us",
    "is_country": true,
    "region": "Arizona",
    "technology": "Body-Worn Camera Audio Analytics",
    "technology_slug": "bwc-audio-analytics",
    "vendor": "Truleo",
    "vendor_slug": "",
    "programme": "",
    "status": "operational",
    "stage": "in-use",
    "evidence": "academic",
    "evidence_is_claim": false,
    "since": "2024",
    "legal_basis": "Departmental policy; no statutory basis or external regulator identified",
    "oversight": "Internal supervisory review; use-of-force and problematic language flags require sergeant review",
    "notes": "Implemented on 1 February 2024 for half the patrol force as a randomised controlled trial, which is why this deployment rests on peer-reviewed evidence rather than vendor material. Natural language processing runs over the audio of every body-worn camera activation once cameras are docked, producing transcripts and automatic flags for professionalism, de-escalation, use of force and language. Apache Junction Police Department has also been studied. Transcription and annotation accuracy is reported to exceed 90 percent, a vendor-derived figure cited within the peer-reviewed study.",
    "source": "Policing: A Journal of Policy and Practice (Oxford University Press), peer-reviewed",
    "source_url": "https://academic.oup.com/policing/article/doi/10.1093/police/paae107/7828028",
    "last_checked": "2026-08-20",
    "record_url": "https://www.policeainews.com/tracker/record/a41d8734-ba0c-40d6-b775-9a4b3d6c950a"
  },
  "licence": "https://www.policeainews.com/data#licence"
}