Description: YouTube’s thumbnail monitoring system was allegedly evaded by content farms such as ones in Cambodia who spike viewership and generate ad revenue using bestiality-themed thumbnails.
Entities
View all entitiesAlleged: YouTube developed and deployed an AI system, which harmed YouTube users and YouTube content creators.
Risk Subdomain
A further 23 subdomains create an accessible and understandable classification of hazards and harms associated with AI
1.2. Exposure to toxic content
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
Yet another issue artificial intelligence is ill-equipped to handle.
YouTube videos with thumbnails depicting women engaging in various sexual acts with horses and dogs populate top search results on the video platform, according to a repor…
There is bestiality on YouTube, and it's surprisingly easy to find. It's also surprisingly prevalent, but not in videos — in video thumbnails, some of which have racked up millions of views.
Search YouTube for "girl and her horse" and the p…
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.