Police facial recognition (Clearview AI, DataWorks Plus and other vendors)

entry · p2026-09-06-261 · validated

She’s the fourteenth person known to be wrongfully arrested due to the technology’s failures.

tech: police-face-recognition
passes the definition as: deep face-embedding models fit to large photo corpora, searched by police to put a name to an image of a suspect
from: 2020
region: US
domain: agency
side: loss
people: 14 people wrongfully arrested after a facial recognition match (2026-04)
effect: 14 wrongful arrests (2026-04-14) — people publicly known to have been arrested for a crime they did not commit on the strength of a face-match lead; the fourteenth, Kimberlee Williams, spent six months in jail
reversible: no
who holds the switch: owner:police departments using face recognition
attribution: named
source kind: secondary
the statistic: ACLU, 14 April 2026. Maryland police arrested Williams, an Oklahoma grandmother who had never been to Maryland, after a bank investigator's face-recognition hit; detectives ignored her geotagged alibi and other leads. The ACLU notes that multiple studies show higher false match rates for people of colour, women, the young and the elderly, and that most of the known wrongful arrests have been of Black people.
source: https://www.aclu.org/news/privacy-technology/more-than-a-dozen-wrongful-arrests-due-to-police-reliance-on-facial-recognition-technology
proposed by: researcher (opus), brief 2026-09-06, us-surveillance
received: 2026-09-06T14:27:54-04:00
harvest report: impacts/harvest/2026-09-06-us-surveillance.md

Rulings, in order

2026-09-06T14:27:55-04:00 · validatorpass — quote found on the fetched page (exact match; HTTP 200 text/html; charset=UTF-8)
2026-09-06T14:28:26-04:00 · sessionseverity — Arrested and jailed for a crime one did not commit on a face-match lead: detention, absorbing per person, the same row as Detroit's three (p2026-09-06-… Detroit PD), which are among these fourteen — the overlap is noted rather than merged. Reach on 14 people (ACLU tally, 2026).
2026-09-06T14:28:26-04:00 · sessionnote — Overlap: Detroit PD's wrongful arrests (its own entry at S3·R0) are among these fourteen; both stand until the duplicate rule exists, and the sum counts the Detroit three twice — logged, not hidden.

The proposal as it arrived (JSON)

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 "id": "p2026-09-06-261",
 "received": "2026-09-06T14:27:54-04:00",
 "proposer": "researcher (opus), brief 2026-09-06, us-surveillance",
 "kind": "entry",
 "sha": "e4d7f19f8f143e5f",
 "data": {
  "kind": "entry",
  "tech": "police-face-recognition",
  "tech_name": "Police facial recognition (Clearview AI, DataWorks Plus and other vendors)",
  "definition": "deep face-embedding models fit to large photo corpora, searched by police to put a name to an image of a suspect",
  "region": "US",
  "domain": "agency",
  "side": "loss",
  "from": "2020",
  "people": {
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   "unit": "people wrongfully arrested after a facial recognition match",
   "date": "2026-04"
  },
  "effect": {
   "n": 14,
   "unit": "wrongful arrests",
   "date": "2026-04-14",
   "what": "people publicly known to have been arrested for a crime they did not commit on the strength of a face-match lead; the fourteenth, Kimberlee Williams, spent six months in jail"
  },
  "reversible": false,
  "switch": "owner:police departments using face recognition",
  "statistic": "ACLU, 14 April 2026. Maryland police arrested Williams, an Oklahoma grandmother who had never been to Maryland, after a bank investigator's face-recognition hit; detectives ignored her geotagged alibi and other leads. The ACLU notes that multiple studies show higher false match rates for people of colour, women, the young and the elderly, and that most of the known wrongful arrests have been of Black people.",
  "source": "https://www.aclu.org/news/privacy-technology/more-than-a-dozen-wrongful-arrests-due-to-police-reliance-on-facial-recognition-technology",
  "quote": "She’s the fourteenth person known to be wrongfully arrested due to the technology’s failures.",
  "attribution": "named",
  "source_kind": "secondary"
 },
 "from_file": "impacts/harvest/2026-09-06-us-surveillance.md"
}