Incidente 985: translated-es-Alleged Deepfake of Singapore Prime Minister Lee Hsien Loong Promotes Cryptocurrency Scam in Fake Interview

Descripción:

translated-es-A deepfake video falsely depicted Singapore’s Prime Minister Lee Hsien Loong promoting a cryptocurrency investment scam. Scammers used AI-generated voice cloning and manipulated footage from official events to create a convincing but fraudulent video interview with China Global Television Network. Lee warned the public and urged reporting through the ScamShield Bot.

Editor Notes: Two significant AI incidents involving Lee Hsien Loong occurred several months apart from each other. This incident pertains to the December 2023 one. The other one, Incident 986, pertains to a June 2024 incident. This incident ID is retroactive; Lee was Prime Minister during the time of the incident, but the incident ID was created during his time as Senior Minister. See also Incident 988 for information pertaining to disinformation-related deepfakes of Lee that emerged in late June 2024.

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Alleged: Unknown voice cloning technology developer y Unknown deepfake technology developer developed an AI system deployed by Scammers impersonating Lee Hsien Loong , scammers y Fraudsters, which harmed Lee Hsien Loong y General public of Singapore.

Sistemas de IA presuntamente implicados: Unknown voice cloning technology y Unknown deepfake apps

Estadísticas de incidentes

985

Cantidad de informes

Fecha del Incidente

2023-12-29

Editores

Dummy Dummy

Informes del Incidente

Cronología de Informes

El primer ministro Lee advierte contra responder a videos deepfake en los que promociona estafas de inversión.

straitstimes.com

straitstimes.com · 2023

Traducido por IA

SINGAPUR – Los singapurenses deben mantenerse alerta y aprender a protegerse a sí mismos y a sus seres queridos de las estafas deepfake, declaró el primer ministro Lee Hsien Loong, quien es el último objetivo en ser visto promocionando prod…

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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