Registro de citas para el Incidente 829

Description: Buenos Aires's facial recognition system mistakenly flagged innocent people as criminals, leading to wrongful stops and detentions. Judicial investigations indicate the technology may have been misused for unauthorized surveillance and data collection. Despite privacy risks, the system has been used widely without full disclosure of standards or safeguards,

Editor Notes: Reconstruction of the timeline of events: (1) 2019: Buenos Aires implements a facial recognition system aimed at enhancing public safety, capturing thousands of individuals. (2) After implementation in 2019: At least 140 individuals, including Guillermo Ibarrola, are erroneously flagged as criminals due to database errors, leading to police checks and detentions. (3) 2020: The facial recognition feature is deactivated as a precaution during the COVID-19 pandemic and remains off by judicial order. (4) December 2023: Journalists confirm that their biometric data was accessed, which in turn prompted further scrutiny by them. (5) February 5, 2024: The Pulitzer Center publishes a report on the issues surrounding Buenos Aires's facial recognition system.

Herramientas

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Entidades

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Presunto: un sistema de IA desarrollado por Government of Argentina e implementado por Government of Argentina , Government of Buenos Aires y Argentinean Ministry of Security, perjudicó a Argentinean citizens , Buenos Aires residents y Guillermo Ibarrola.

Estadísticas de incidentes

829

Cantidad de informes

Fecha del Incidente

2024-02-05

Editores

Daniel Atherton

Informes del Incidente

Cronología de Informes

translated-es-How We Investigated Mass Surveillance in Argentina

pulitzercenter.org

pulitzercenter.org · 2024

Traducido por IA

translated-es-Seventy-five percent of the Argentine capital area is under video surveillance, which the government proudly advertises on billboards. But the facial recognition system, part of the city's sprawling surveillance infrastructure…

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.