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Incident 377: Weibo Model Had Difficulty Detecting Shifts in Censored Speech

Description: Weibo's user moderation model is having difficulty keeping up with shifting user slang in defiance of Chinese state censors.

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Alleged: Weibo developed and deployed an AI system, which harmed Weibo and Chinese government.

Incident Stats

Incident ID
377
Report Count
1
Incident Date
2022-10-11
Editors
Sean McGregor
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
 

5.2. Loss of human agency and autonomy

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. Human-Computer Interaction

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

+1
How Chinese citizens use puns to get past internet censors
How Chinese citizens use puns to get past internet censors

How Chinese citizens use puns to get past internet censors

restofworld.org

How Chinese citizens use puns to get past internet censors
restofworld.org · 2022

In 2018, #MeToo, the hashtag people around the world use to discuss sexual harassment, was blocked on social media in China.

Internet users in the country formed a new hashtag to keep raising awareness. They used the characters for rice (米,…

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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