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Traducido por IA

Incidente 1405: Según informes, supuestos deepfakes médicos generados por IA utilizaron las marcas Guy's y St Thomas' para comercializar parches para bajar de peso.

Traducido por IA
Descripción:
Traducido por IA
El Guy's and St Thomas' NHS Foundation Trust advirtió que en Facebook y TikTok circularon supuestos videos generados por inteligencia artificial en los que sus profesionales médicos promocionaban parches para bajar de peso. Los videos presuntamente suplantaban la identidad de médicos y utilizaban afirmaciones médicas engañosas para comercializar el producto.

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Alleged: Unknown voice cloning technology developers y Unknown deepfake technology developers developed an AI system deployed by Unknown scammers, which harmed People seeking medical advice , Guy's and St Thomas' NHS Foundation Trust clinicians , Guy's and St Thomas' NHS Foundation Trust , General public of the United Kingdom , General public y Epistemic integrity.
Sistemas de IA presuntamente implicados: Unknown voice cloning technology , Unknown deepfake technology , TikTok , Social media platforms y Facebook

Estadísticas de incidentes

ID
1405
Cantidad de informes
1
Fecha del Incidente
2026-01-09
Editores
Daniel Atherton

Informes del Incidente

Cronología de Informes

Incident OccurrenceAlerta hospitalaria tras vídeos falsos avalados por médicos.
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Alerta hospitalaria tras vídeos falsos avalados por médicos.

Alerta hospitalaria tras vídeos falsos avalados por médicos.

bbc.co.uk

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Alerta hospitalaria tras vídeos falsos avalados por médicos.
bbc.co.uk · 2026
Traducido por IA

Un hospital del sur de Londres ha emitido una alerta tras la difusión en línea de vídeos fraudulentos que afirman que su personal promociona productos para adelgazar.

El Guy's and St Thomas' NHS Foundation Trust declaró que los vídeos, enco…

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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