Description: A Channel 4 News investigation alleges that nearly 4,000 celebrities globally, including 255 British figures, were victims of deepfake pornography. Faces were superimposed onto explicit content using AI, with the top deepfake sites garnering 100 million views in three months, according to their findings.
Entidades
Ver todas las entidadesAlleged: Unknown deepfake technology developers developed an AI system deployed by Deepfake website operators, which harmed celebrities , British public figures y Cathy Newman.
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
More than 250 British celebrities are among the thousands of famous people who are victims of deepfake pornography, an investigation has found.
A Channel 4 News analysis of the five most visited deepfake websites found almost 4,000 famous i…
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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