Description: YouTube’s personalization and recommendation algorithms were alleged to have pushed and exposed its young male users to political extremism and misinformation, driving them towards far-right ideologies such as neo-Nazism and white supremacy.
Entities
View all entitiesAlleged: YouTube developed and deployed an AI system, which harmed YouTube young male users , YouTube male users and Caleb Cain.
Incident Stats
Incident ID
263
Report Count
1
Incident Date
2015-09-01
Editors
Khoa Lam
Applied Taxonomies
CSETv1_Annotator-2 Taxonomy Classifications
Taxonomy DetailsIncident Number
The number of the incident in the AI Incident Database.
263
Special Interest Intangible Harm
An assessment of whether a special interest intangible harm occurred. This assessment does not consider the context of the intangible harm, if an AI was involved, or if there is characterizable class or subgroup of harmed entities. It is also not assessing if an intangible harm occurred. It is only asking if a special interest intangible harm occurred.
yes
Date of Incident Year
The year in which the incident occurred. If there are multiple harms or occurrences of the incident, list the earliest. If a precise date is unavailable, but the available sources provide a basis for estimating the year, estimate. Otherwise, leave blank.
Enter in the format of YYYY
2014
Estimated Date
“Yes” if the data was estimated. “No” otherwise.
No
Multiple AI Interaction
“Yes” if two or more independently operating AI systems were involved. “No” otherwise.
no
Embedded
“Yes” if the AI is embedded in a physical system. “No” if it is not. “Maybe” if it is unclear.
no
Incident Reports
Reports Timeline
nytimes.com · 2019
- View the original report at its source
- View the report at the Internet Archive
Martinsburg, W.Va. — Caleb Cain pulled a Glock pistol from his waistband, took out the magazine and casually tossed both onto the kitchen counter.
“I bought it the day after I got death threats,” he said.
The threats, Mr. Cain explained, ca…
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.