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Incident 163: Facebook’s Hate Speech Detection Algorithms Allegedly Disproportionately Failed to Remove Racist Content towards Minority Groups

Description: Facebook’s hate-speech detection algorithms was found by company researchers to have under-reported less common but more harmful content that was more often experienced by minority groups such as Black, Muslim, LGBTQ, and Jewish users.

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Alleged: Facebook developed and deployed an AI system, which harmed Facebook users of minority groups and Facebook users.

Incident Stats

Incident ID
163
Report Count
2
Incident Date
2021-11-21
Editors
Sean McGregor, Khoa Lam
Applied Taxonomies
GMF, 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

How Facebook Hides How Terrible It Is With Hate Speech+1
Facebook’s race-blind practices around hate speech came at the expense of Black users, new documents show
How Facebook Hides How Terrible It Is With Hate Speech

How Facebook Hides How Terrible It Is With Hate Speech

wired.com

Facebook’s race-blind practices around hate speech came at the expense of Black users, new documents show

Facebook’s race-blind practices around hate speech came at the expense of Black users, new documents show

washingtonpost.com

How Facebook Hides How Terrible It Is With Hate Speech
wired.com · 2021

In public, Facebook seems to claim that it removes more than 90 percent of hate speech on its platform, but in private internal communications the company says the figure is only an atrocious 3 to 5 percent. Facebook wants us to believe tha…

Facebook’s race-blind practices around hate speech came at the expense of Black users, new documents show
washingtonpost.com · 2021

Last year, researchers at Facebook showed executives an example of the kind of hate speech circulating on the social network: an actual post featuring an image of four female Democratic lawmakers known collectively as “The Squad.”

The poste…

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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