Description: In the lead-up to Korea's parliamentary elections, at least 129 deepfake videos and images were reported to have been detected, violating new election laws. These AI-generated deepfakes were used to mislead and manipulate public opinion, prompting a crackdown by the National Election Commission.
Entities
View all entitiesAlleged: Unknown political operatives and Unknown political groups developed and deployed an AI system, which harmed Yoon Suk-yeol , Korean voters , Journalism , 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
With less than 50 days remaining until Korea's parliamentary elections in April, concerns over the proliferation of artificial intelligence (AI)-generated deepfake videos and images are mounting, prompting heightened vigilance from election…
Variants
A "variant" is an AI incident similar to a known case—it has the same causes, harms, and AI system. Instead of listing it separately, we group it under the first reported incident. Unlike other incidents, variants do not need to have been reported outside the AIID. Learn more from the research paper.
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