Incidente 880: Estafadores utilizan deepfakes de expertos en salud y figuras públicas en Australia para vender suplementos y dar consejos perjudiciales.
Descripción: Según informes, estafadores están utilizando deepfakes generados por IA de expertos en salud y figuras públicas en Australia para vender suplementos y dar consejos perjudiciales sobre la salud. Entre los casos reportados, se alega que los deepfakes muestran falsamente a Jonathan Shaw y Karl Stefanovic promocionando "Glyco Balance" para el control de la diabetes, mientras que Karl Kruszelnicki, según informes, aparece promocionando falsamente pastillas para la presión arterial.
Editor Notes: See also Incident 1076 for a variant of this incident ID, along with more information. Incidents 880 and Incident 1076 are closely related. Reconstructing the timeline of events for this ID: (1) November 2023: A fabricated interview transcript, allegedly attributed to Prof. Jonathan Shaw, is published online. The transcript reportedly claims he endorsed "Glyco Balance" as a breakthrough treatment for type 2 diabetes, and (2) AI-generated videos allegedly featuring Shaw and television host Karl Stefanovic appear on Facebook, promoting "Glyco Balance" with claims that reportedly misrepresent the effectiveness of the supplement and criticize established medications like metformin. (3) Earlier in 2024: Similar AI technology is reportedly used to create deepfake videos of Dr. Karl Kruszelnicki endorsing unproven blood pressure medications. These ads are widely circulated on Facebook and Instagram. (4) November 29, 2024: Meta removes the deepfake video of Shaw following a complaint from the Baker Institute. The removal reportedly required the filing of an intellectual property infringement claim. (5) December 9, 2024: The Australian Broadcasting Corporation publishes a report detailing these incidents.
Entidades
Ver todas las entidadesAlleged: Unknown deepfake technology developer developed an AI system deployed by scammers, which harmed Karl Stefanovic , Karl Kruszelnicki , Jonathan Shaw , General public y Diabetes patients.
Sistema de IA presuntamente implicado: Unknown deepfake app
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
Un experto en diabetes se vio obligado a tranquilizar a sus pacientes diciéndoles que estaban tomando la medicación adecuada después de ver un vídeo generado por IA en el que describía a las personas que recetaban el fármaco como "idiotas".…
Variantes
Una "Variante" es un incidente de IA similar a un caso conocido—tiene los mismos causantes, daños y sistema de IA. En lugar de enumerarlo por separado, lo agrupamos bajo el primer incidente informado. A diferencia de otros incidentes, las variantes no necesitan haber sido informadas fuera de la AIID. Obtenga más información del trabajo de investigación.
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