Descripción: Scammers used AI tools from HeyGen and ElevenLabs to create deepfake videos of influencers Michel Janse, Olga Loiek, Shadé Zahrai, and Carrie Williams, misusing Lana Smalls's voice in Williams's case. These videos promoted offensive products and false messages, in some cases targeting nationalist Chinese men to boost China-Russia ties, causing emotional distress and damaging the victims' reputations.
Entidades
Ver todas las entidadesAlleged: HeyGen y ElevenLabs developed an AI system deployed by Unknown scammers, which harmed Olga Loiek , Michel Janse , Lana Smalls , Carrie Williams y Shadé Zahrai.
Estadísticas de incidentes
Risk Subdomain
A further 23 subdomains create an accessible and understandable classification of hazards and harms associated with AI
4.3. Fraud, scams, and targeted manipulation
Risk Domain
The Domain Taxonomy of AI Risks classifies risks into seven AI risk domains: (1) Discrimination & toxicity, (2) Privacy & security, (3) Misinformation, (4) Malicious actors & misuse, (5) Human-computer interaction, (6) Socioeconomic & environmental harms, and (7) AI system safety, failures & limitations.
- Malicious Actors & Misuse
Entity
Which, if any, entity is presented as the main cause of the risk
Human
Timing
The stage in the AI lifecycle at which the risk is presented as occurring
Post-deployment
Intent
Whether the risk is presented as occurring as an expected or unexpected outcome from pursuing a goal
Intentional
Informes del Incidente
Cronología de Informes
Michel Janse was on her honeymoon when she found out she had been cloned.
The 27-year-old content creator was with her husband in a rented cabin in snowy Maine when messages from her followers began trickling in, warning that a YouTube comm…
The woman declares, in Mandarin inflected with a slight accent, that Chinese men should marry "us Russian women." In other videos on the Chinese short video platform Douyin, she describes how much she loves Chinese food, and hawks salt and …
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.
Incidentes Similares
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Incidentes Similares
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