Descripción: A mother in Arizona received a ransom call from an anonymous scammer who created her daughter's voice allegedly using AI voice synthesis, which was proven to be fake once her daughter's safety was confirmed.
Entidades
Ver todas las entidadesAlleged: unknown developed an AI system deployed by scammers, which harmed Jennifer DeStefano y DeStefanos family.
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
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SCOTTSDALE, Ariz. ([KPHO](https://www.azfamily.com/2023/04/10/ive-got-your-child-scottsdale-mom-warns-close-encounter-with-ai-voice-cloning -estafa/)/Gray News) – Una madre en Arizona está advirtiendo a otros sobre una aterradora estafa tel…
(CNN) — El teléfono de Jennifer DeStefano sonó una tarde cuando salía de su automóvil frente al estudio de baile donde su hija menor, Aubrey, tenía un ensayo. La persona que llamó apareció como desconocida, y ella contempló brevemente no co…
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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