Description: TikTok's search recommendations reportedly contained misinformation about political topics bypassing both AI and human content moderation.
Entities
View all entitiesAlleged: TikTok developed and deployed an AI system, which harmed young TikTok users , TikTok users and Gen Z TikTok users.
Incident Stats
Risk Subdomain
A further 23 subdomains create an accessible and understandable classification of hazards and harms associated with AI
3.1. False or misleading information
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.
- Misinformation
Entity
Which, if any, entity is presented as the main cause of the risk
AI
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
Unintentional
Incident Reports
Reports Timeline
“Aloha, beloved,” says a smiling woman, against the backdrop of her kitchen. “About three, four days ago I made ‘the cure’ … to what’s going around. It’s actually called hydroxychloroquine,” she explained, referring to the drug that ignited…
MANILA, Philippines – A new study published this month by NewsGuard, a US-based site helmed by journalists that track online misinformation, found about 20% of search results delivered by TikTok contain misinformation.
The site made use of…
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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