Incidente 669: translated-es-Deepfake of Long-Deceased Suharto Circulating in Run-up to February 2024 Indonesian Elections
Descripción: translated-es-An AI-generated deepfake of Suharto, the deceased Indonesian dictator, was generated and circulated by the Golkar Party ahead of the February 2024 Indonesian elections. This video, which aimed to influence voter perceptions by invoking Suharto's legacy, sought to manipulate public opinion and misused deceased individuals' likenesses for political gain. The incident is another example of political deepfakes creating convincing misinformation.
Entidades
Ver todas las entidadesPresunto: un sistema de IA desarrollado e implementado por Golkar Party, perjudicó a Indonesian electorate , Electoral integrity y Democracy.
Estadísticas de incidentes
Risk Subdomain
A further 23 subdomains create an accessible and understandable classification of hazards and harms associated with AI
4.1. Disinformation, surveillance, and influence at scale
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

translated-es-A once-feared army general, who ruled Indonesia with an iron fist for more than three decades, has a message for voters ahead of upcoming elections – from beyond the grave.
“I am Suharto, the second president of Indonesia,” th…
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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