Description: NYC implemented an AI enabled weapons scanner for a month-long pilot with limited success. Despite not finding any weapons during the September 2024 testing phase, there were 118 false positives in which a person was searched under suspicion of carrying a weapon with no actual gun detections.
Editor Notes: The 118 false positives can be considered a privacy invasion, and according to some cited legal advocacy groups, a violation of due process. Reconstructing the timeline of events: (1) March 28, 2024: Mayor Eric Adams announces plans to deploy Evolv's AI-powered weapons scanners in selected NYC subway stations. (2) Summer 2024: Pilot program begins, deploying AI scanners across 20 subway stations. (3) September 2024: NYPD completes a 30-day testing period with the scanners, performing 2,749 scans and recording 118 false positives and no firearms detections. (4) October 23, 2024: NYPD releases a brief statement summarizing the pilot results, which is marked at the incident date for our purposes, even though each false positive (as well as the potential for firearms to have slipped past detection) may be considered discrete incidents in and of themselves.
Entidades
Ver todas las entidadesAlleged: Evolv Technology developed an AI system deployed by New York City Government, which harmed New York City subway riders.
Estadísticas de incidentes
ID
831
Cantidad de informes
1
Fecha del Incidente
2024-10-23
Editores
Daniel Atherton
Informes del Incidente
Cronología de Informes
apnews.com · 2024
- Ver el informe original en su fuente
- Ver el informe en el Archivo de Internet
NUEVA YORK (AP) — Un programa piloto que probó escáneres de armas con inteligencia artificial dentro de algunas estaciones del metro de Nueva York este verano no detectó ningún pasajero con armas de fuego, pero dio alertas falsas más de 100…
Variantes
Una "Variante" es un incidente que comparte los mismos factores causales, produce daños similares e involucra los mismos sistemas inteligentes que un incidente de IA conocido. En lugar de indexar las variantes como incidentes completamente separados, enumeramos las variaciones de los incidentes bajo el primer incidente similar enviado a la base de datos. A diferencia de otros tipos de envío a la base de datos de incidentes, no se requiere que las variantes tengan informes como evidencia externa a la base de datos de incidentes. Obtenga más información del trabajo de investigación.
Incidentes Similares
Did our AI mess up? Flag the unrelated incidents
Tempe police release report, audio, photo
· 25 informes
Policing the Future
· 17 informes
Gunshot detection system gets mixed reviews nationally
· 15 informes
Incidentes Similares
Did our AI mess up? Flag the unrelated incidents
Tempe police release report, audio, photo
· 25 informes
Policing the Future
· 17 informes
Gunshot detection system gets mixed reviews nationally
· 15 informes