Description: AI-generated misinformation on TikTok, driven by foreign networks, has flooded the platform with false narratives about the 2024 U.S. presidential election. Thousands of videos spreading political lies were identified, potentially influencing millions of users. Despite TikTok’s efforts to remove these accounts, the AI-driven disinformation campaign continues to challenge the integrity of the election.
Entities
View all entitiesAlleged: TikTok developed an AI system deployed by Unknown TiKTok users from China , Unknown TikTok users from Iran , Unknown TikTok users from Nigeria and Unknown TikTok users from Vietnam, which harmed American electorate , Electoral integrity , Democracy and General public.
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
Intelligence officials have warned that the 2024 presidential contest could face an unprecedented flood of fake news, fueled by AI, from foreign actors. A Journal analysis of videos on TikTok has found it's already happening.
Amid all the …
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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