Policing & Surveillance
2 gains0 Traces4 problems
Every measured gain and problem on the record for this topic, newest first.Too few to weigh yet. Updated .
One square per record, darker for stronger evidence:Evidence: 0 high5 moderate1 emerging
6 records so far, too few to weigh yet. Is your study missing? Add it
0 records
No records of this kind in this topic yet.
AI in policing and surveillance
A Trace is one record with both a gain and a problem, so it counts on both sides: 2 records show a gain and 4 show a problem. 6 context records are in the record list but not counted, because they report no measured gain or problem.
| Evidence | Gain side | Problem side |
|---|---|---|
| HighStrong study design, backed by at least two independent sources | 0 | 0 |
| ModerateA measured study or an official source | 1 | 4 |
| EmergingEarly, small, unreviewed or reported second-hand | 1 | 0 |
By type of evidence: 3 investigations by reporters; 1 news report; 1 regulatory or legal action; 1 observational study. How evidence is scored
6 records so far, too few to weigh yet. A written summary appears once a topic has at least 20 counted records, with at least 5 on each side. Is your study missing? Add it
In a test on 94 right-handed writers copying the same text, a statistical model told dominant-hand from non-dominant-hand writing with 92.98% accuracy, and 91.23% with a reduced feature set.
Hong Kong police say AI facial recognition on SmartView cameras will cut the time officers spend reviewing CCTV footage to find missing persons and suspects, freeing patrol officers for other investigative work.
A Tennessee woman, 50, was arrested at gunpoint and jailed almost six months on bank fraud charges that were dropped after bank records placed her in Tennessee. Her lawsuit alleges Fargo police relied on an AI facial recognition lead.
British Transport Police's six-month facial recognition trial in London stations cost £320,786 and scanned over half a million faces, yet produced one false match and no arrests.
Rutgers students, faculty and staff say they were never told the university spent $1.5 million on software that can track faces, license plates and people across campus.
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