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Incident 448: AI-Powered VTuber and Virtual Streamer Made Toxic Remarks on Twitch

Description: An LLM-powered VTuber and streamer on Twitch made controversial statements such as denying the Holocaust, saying women rights do not exist, and pushing a fat person to solve the trolley problem, stating they deserve it.

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

Incident Stats

Incident ID
448
Report Count
1
Incident Date
2022-12-28
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
 

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

Incident OccurrenceAI-Controlled VTuber Streams Games On Twitch, Denies Holocaust
AI-Controlled VTuber Streams Games On Twitch, Denies Holocaust

AI-Controlled VTuber Streams Games On Twitch, Denies Holocaust

kotaku.com

AI-Controlled VTuber Streams Games On Twitch, Denies Holocaust
kotaku.com · 2023

Neuro-sama is a VTuber who streams Minecraft and the rhythm game Osu! on Twitch. But unlike most anime avatars, she’s controlled by an artificial intelligence program rather than a human being. That makes her catnip for the denizens of Twit…

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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