Registro de citas para el Incidente 831

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.

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Presunto: un sistema de IA desarrollado por Evolv Technology e implementado por New York City Government, perjudicó a New York City subway riders.

Estadísticas de incidentes

831

Cantidad de informes

Fecha del Incidente

2024-10-23

Editores

Daniel Atherton

Informes del Incidente

Cronología de Informes

translated-es-AI-powered weapons scanners used in NYC subway found zero guns in one month test

apnews.com

apnews.com · 2024

Traducido por IA

translated-es-NEW YORK (AP) — A pilot program testing AI-powered weapons scanners inside some New York City subway stations this summer did not detect any passengers with firearms — but falsely alerted more than 100 times, according to newl…

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.