Description: TikTok's, YouTube's, Instagram's, and Twitch's use of algorithms to flag certain words devoid of context changed content creators' use of everyday language or discussion about certain topics in fear of their content getting flagged or auto-demonetized by mistake.
Entities
View all entitiesAlleged: YouTube , Twitch , TikTok and Instagram developed and deployed an AI system, which harmed YouTube content creators , Twitch content creators , TikTok content creators and Instagram content creators.
Incident Stats
Risk Subdomain
A further 23 subdomains create an accessible and understandable classification of hazards and harms associated with AI
1.3. Unequal performance across groups
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.
- Discrimination and Toxicity
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
"Algospeak" is becoming increasingly common across the Internet as people seek to bypass content moderation filters on social media platforms such as TikTok, YouTube, Instagram and Twitch.
Algospeak refers to code words or turns of phrase u…
If you've noticed the use of newly invented words cropping up on digital platforms or words used out of context or misspelled, it's not a new kind of social media slang—it's algospeak.
Terms like "unalive" take the place of "dead" or "kill.…
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.
Similar Incidents
Did our AI mess up? Flag the unrelated incidents
Similar Incidents
Did our AI mess up? Flag the unrelated incidents