Description: An 18-year-old Argentine student at the pre-university institute of Manuel Belgrano of Córdoba allegedly used AI tools to generate explicit fake images of at least 22 female classmates by combining their faces with other bodies. These images, posted on pornography websites, included the victims' names, leading to harassment and significant psychological harm. Legal authorities charged the student with serious injuries aggravated by gender violence.
Editor Notes: Reconstructing the timeline of events: (1) Mid-2024: Two female students at the Manuel Belgrano Institute began receiving suspicious Instagram messages from men aged 40–50. (2) July 2024: Victims discovered explicit AI-generated images of themselves on pornographic websites, featuring their names and altered appearances. (3) August 2024: Families of victims reported the student to authorities, who launched an investigation and conducted a search of the accused's home. (4) October 18, 2024: Charges were filed against the accused for gender-based violence and psychological harm; legal experts advocated for updated laws addressing AI misuse. This fourth date is being marked as the incident date, even though the initial events are reported to have begun sometime in the middle of 2024.
Entidades
Ver todas las entidadesPresunto: un sistema de IA desarrollado por Unknown deepfake technology creators e implementado por Unnamed 18-year-old Manuel Belgrano male student, perjudicó a Unnamed Manuel Belgrano female students.
Estadísticas de incidentes
ID
848
Cantidad de informes
1
Fecha del Incidente
2024-10-18
Editores
Daniel Atherton
Informes del Incidente
Cronología de Informes
clarin.com · 2024
- Ver el informe original en su fuente
- Ver el informe en el Archivo de Internet
Él tiene 18 años y va al instituto preuniversitario Manuel Belgrano de Córdoba. Hace unos meses, dos chicas de 17, que no son de su mismo curso y con las que ni siquiera tenía trato, empezaron a recibir solicitudes en Instagram de hombres d…
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.
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