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Incident 366: Suicide Clips Evaded TikTok's Automated Moderation in Coordinated Attack

Description: Many clips showing a suicide evaded TikTok's automated content moderation system allegedly in a coordinated attack, which resulted in exposure of violating content to its users.

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Alleged: TikTok developed and deployed an AI system, which harmed TikTok users.

Incident Stats

Incident ID
366
Report Count
1
Incident Date
2020-09-20
Editors
Khoa Lam
Applied Taxonomies
MIT

MIT Taxonomy Classifications

Machine-Classified
Taxonomy Details

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.
 
  1. Discrimination and Toxicity

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

Incident OccurrenceTikTok suicide clip that traumatised kids was 'attack plotted on dark web'
TikTok suicide clip that traumatised kids was 'attack plotted on dark web'

TikTok suicide clip that traumatised kids was 'attack plotted on dark web'

the-sun.com

TikTok suicide clip that traumatised kids was 'attack plotted on dark web'
the-sun.com · 2020

TikTok says a gruesome video of a man committing suicide that went viral on its platform was spread deliberately by a group of sickos working together.

The company found evidence of a "coordinated attack" when it investigated why the video …

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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