Description: A large-scale AI-assisted financial scam, allegedly operated from Tbilisi, Georgia, used deepfake celebrity endorsements and manipulated victims through fraudulent trading dashboards that simulated high returns. Call center agents, trained with AI-driven persuasion tactics, convinced individuals to invest more money while falsely promising profits. Many reportedly lost their life savings, with the total losses reaching $35M across more than 6,000 victims.
Editor Notes: Note on the timeline: These scams began sometime in May 2022, but The Guardian's investigation was published on 03/05/2025.
Entidades
Ver todas las entidadesAlleged: Unknown deepfake technology developers , Third-Party AI Service Providers for Call Center Training y Fraudulent Trading Platform Developers developed an AI system deployed by Scammer Operatives in Georgia, Bulgaria, Cyprus, and Spain , Meri Shotadze , Golden Currencies , Akaki Kevkhishvili , AK Group y AdmiralsFX, which harmed Small business owners , Retirees seeking investment opportunities , People with neurological disorders , Individuals deceived by celebrity deepfake impersonations , Financial professionals , Financial fraud victims y Elderly investors.
Sistemas de IA presuntamente implicados: Unknown deepfake apps , Fraudulent Investment Platforms with AI-Powered Simulations , Automated Call Center AI Assistants , AnyDesk , AI-Generated Trading Dashboards y Affiliate Marketing Networks Using AI for Scam Targeting
Estadísticas de incidentes
ID
962
Cantidad de informes
1
Fecha del Incidente
2025-03-05
Editores
Daniel Atherton
Informes del Incidente
Cronología de Informes
Ben Fogle no era un hombre feliz. “No estoy seguro de que deba destacar esto”, publicó el locutor en Instagram durante la primavera de 2024, “pero el deepfake mío de This Morning de ITV… que circula en Facebook [y] que anuncia criptomonedas…
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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