Description: 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.
Entités
Voir toutes les entitésAlleged: Surveillance technology developers , Flock Safety et 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 et City of San Diego, which harmed Road users , Motorists , Individuals mistakenly detained by law enforcement , Hugo Parra , Epistemic integrity , Drivers , Christian Lopez et Ariel Alonso Beltran.
Systèmes d'IA présumés impliqués: Surveillance technology , Flock Safety automated license plate reader system et Automated license plate readers (ALPR)
Statistiques d'incidents
ID
1811
Nombre de rapports
1
Date de l'incident
2025-11-26
Editeurs
Daniel Atherton
Rapports d'incidents
Chronologie du rapport
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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
Une "Variante" est un incident de l'IA similaire à un cas connu—il a les mêmes causes, les mêmes dommages et le même système intelligent. Plutôt que de l'énumérer séparément, nous l'incluons sous le premier incident signalé. Contrairement aux autres incidents, les variantes n'ont pas besoin d'avoir été signalées en dehors de la base de données des incidents. En savoir plus sur le document de recherche.
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