Incidente 656: Alleged Deepfake Disinformation Broadcast by Russian State TV Blames Ukraine for Moscow Attack

Descripción: Russian state media is reported to have broadcast deepfaked videos of Ukrainian officials, notably fabricating a video of Secretary of the National Security and Defense Council of Ukraine admitting to orchestrating the Crocus City Hall terror attack in Moscow. The effort appears to be a bid to wrongly assign blame for the incident, which ISIS-K has officially claimed.

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Presunto: un sistema de IA desarrollado e implementado por Russian state media y NTV Channel, perjudicó a Journalism , Ukraine , Oleksiy Danilov y Kyrylo Budanov.

Estadísticas de incidentes

ID
656
Cantidad de informes
3
Fecha del Incidente
2024-03-23
Editores
Daniel Atherton
Applied Taxonomies
GMF, MIT

Clasificaciones de la Taxonomía MIT

Machine-Classified
Detalles de la Taxonomía

Risk Subdomain

4.1. Disinformation, surveillance, and influence at scale

Risk Domain

  1. Malicious Actors & Misuse

Entity

Human

Timing

Post-deployment

Intent

Intentional

Britain warns Putin not to use Moscow attack to intensify war on Ukraine
telegraph.co.uk · 2024

Britain has warned Vladimir Putin not to use a deadly terror attack in Moscow as an "excuse" to intensify its war on Ukraine.

The Russian president used a speech on Saturday to accuse Kyiv of trying to help four alleged gunmen escape after …

Russian state TV broadcasts chilling DEEPFAKE video of Ukraine spy chief ‘bragging about Moscow terror attack’
thesun.co.uk · 2024

RUSSIAN state TV has broadcast a deepfake of Ukraine's top security official appearing to brag about Kyiv's role in the terrorist massacre at a concert hall in Moscow.

The AI-generated video of Oleksiy Danilov is doing the rounds online in …

A Deepfake Is Already Spreading Confusion and Disinformation About the Moscow Terror Attack
motherjones.com · 2024

After gunmen on the outskirts of Moscow opened fire at a popular concert hall Friday night, in the deadliest attack that Russia's capital has seen in more than a decade, claims and counterclaims are now mounting about who is responsible for…

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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