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Incident 363: Facebook's Automated Moderation Mistakenly Flagged Landmark's Name as Offensive

Description: Facebook's automated system mistakenly labelled posts featuring the seafaring landmark Plymouth Hoe as misogynistic.

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Alleged: Facebook developed and deployed an AI system, which harmed Facebook users posting about Plymouth Hoe , Facebook users in Plymouth Hoe and Plymouth Hoe residents.

Incident Stats

Incident ID
363
Report Count
1
Incident Date
2021-01-15
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
 

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

Incident OccurrenceFacebook apologises for flagging Plymouth Hoe as offensive term
Facebook apologises for flagging Plymouth Hoe as offensive term

Facebook apologises for flagging Plymouth Hoe as offensive term

theguardian.com

Facebook apologises for flagging Plymouth Hoe as offensive term
theguardian.com · 2021

Plymouth Hoe is one of the most well-known sites in the UK’s seafaring history, the spot where Sir Francis Drake reputedly finished a game of bowls before heading out to fight the Spanish Armada.

But Facebook has found itself in hot water a…

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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