Description: 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.
Entities
View all entitiesAlleged: Golkar Party developed and deployed an AI system, which harmed Indonesian electorate , Electoral integrity and Democracy.
Incident Stats
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
Incident Reports
Reports Timeline
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,” the former gener…
Variants
A "variant" is an incident that shares the same causative factors, produces similar harms, and involves the same intelligent systems as a known AI incident. Rather than index variants as entirely separate incidents, we list variations of incidents under the first similar incident submitted to the database. Unlike other submission types to the incident database, variants are not required to have reporting in evidence external to the Incident Database. Learn more from the research paper.
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