Descripción: Police in San Diego, California, reportedly mistook a red Alfa Romeo photographed by a Flock Safety automated license plate reader for a car linked to an attempted carjacking. Officers also relied on a witness identification. They arrested driver Ariel Beltran, passenger Hugo Parra, and a third man. Parra spent nearly a month in jail before his charges were dropped. Parra and Beltran later sued the city and officers.
Editor Notes: 11/26/2025: San Diego police reportedly arrested Hugo Parra, Ariel Beltran, and Christian Lopez during an attempted carjacking investigation in which officers relied on a Flock camera image of a similar car. The following day: Beltran reportedly posted bail. In the weeks after the arrests: According to local reporting, Parra spent nearly a month in jail before the charges against him were dropped. April 2026: Parra and Beltran reportedly filed claims against the city. Their attorney said the city later denied both claims. 11/08/2026: Incident ID created.
Entidades
Ver todas las entidadesAlleged: Surveillance technology developers , Flock Safety y Automated license plate reader (ALPR) developers developed an AI system deployed by San Diego Police Department (California) , Police departments in the United States , Police departments , Law enforcement y City of San Diego, which harmed Road users , Motorists , Individuals mistakenly detained by law enforcement , Hugo Parra , Epistemic integrity , Drivers , Christian Lopez y Ariel Alonso Beltran.
Sistemas de IA presuntamente implicados: Surveillance technology , Flock Safety automated license plate reader system y Automated license plate readers (ALPR)
Estadísticas de incidentes
ID
1811
Cantidad de informes
1
Fecha del Incidente
2025-11-26
Editores
Daniel Atherton
Informes del Incidente
Cronología de Informes
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When Hugo Parra was arrested last year on felony charges, his pleas of innocence fell on deaf ears.
San Diego police had a description of the Alfa Romeo car he was riding in and a witness who identified him during a curbside lineup as the m…
Variantes
Una "Variante" es un incidente de IA similar a un caso conocido—tiene los mismos causantes, daños y sistema de IA. En lugar de enumerarlo por separado, lo agrupamos bajo el primer incidente informado. A diferencia de otros incidentes, las variantes no necesitan haber sido informadas fuera de la AIID. Obtenga más información del trabajo de investigación.
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