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Incident 414: Facebook Gave Vulgar English Translation of Chinese President's Name

Description: Facebook provided a vulgar Burmese-English translation of the Chinese president's name in posts of an official Burmese politician's Facebook page announcing his visit.

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Alleged: Facebook developed and deployed an AI system, which harmed Xi Jinping and Aung San Suu Kyi.

Incident Stats

Incident ID
414
Report Count
1
Incident Date
2020-01-18
Editors
Khoa Lam
Applied Taxonomies
GMF, CSETv1, MIT

CSETv1 Taxonomy Classifications

Taxonomy Details

Incident Number

The number of the incident in the AI Incident Database.
 

414

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
 

2020

Date of Incident Month

The month 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 month, estimate. Otherwise, leave blank. Enter in the format of MM
 

01

Date of Incident Day

The day on which the incident occurred. If a precise date is unavailable, leave blank. Enter in the format of DD
 

18

Estimated Date

“Yes” if the data was estimated. “No” otherwise.
 

No

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
 

7.3. Lack of capability or robustness

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. AI system safety, failures, and limitations

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

+1
Facebook says technical error caused vulgar translation of Chinese leader's name
Facebook says technical error caused vulgar translation of Chinese leader's name

Facebook says technical error caused vulgar translation of Chinese leader's name

reuters.com

Facebook says technical error caused vulgar translation of Chinese leader's name
reuters.com · 2020

YANGON (Reuters) - Facebook Inc FB.O on Saturday blamed a technical error for Chinese leader Xi Jinping’s name appearing as “Mr Shithole” in posts on its platform when translated into English from Burmese, apologizing for any offense caused…

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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