Skip to Content
logologo
AI Incident Database
Open TwitterOpen RSS FeedOpen FacebookOpen LinkedInOpen GitHub
Open Menu
Discover
Submit
  • Welcome to the AIID
  • Discover Incidents
  • Spatial View
  • Table View
  • List view
  • Entities
  • Taxonomies
  • Submit Incident Reports
  • Submission Leaderboard
  • Blog
  • AI News Digest
  • Risk Checklists
  • Random Incident
  • Sign Up
Collapse
Discover
Submit
  • Welcome to the AIID
  • Discover Incidents
  • Spatial View
  • Table View
  • List view
  • Entities
  • Taxonomies
  • Submit Incident Reports
  • Submission Leaderboard
  • Blog
  • AI News Digest
  • Risk Checklists
  • Random Incident
  • Sign Up
Collapse

Incident 392: Facebook's AI-Supported Moderation Failed to Classify Terrorist Content in East African Languages

Description: Facebook's system involving algorithmic content moderation for East African languages was reportedly failing to identify violating content on the platform such as mistakenly classifying non-terrorist content.

Tools

New ReportNew ReportNew ResponseNew ResponseDiscoverDiscoverView HistoryView History

Entities

View all entities
Alleged: Facebook developed and deployed an AI system, which harmed Facebook users speaking East African languages and Facebook users in East Africa.

Incident Stats

Incident ID
392
Report Count
2
Incident Date
2015-06-01
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 Occurrence+1
Under-Moderated, Unhinged and Ubiquitous: Al-Shabaab and the Islamic State Networks on Facebook: Why Al-Shabaab and Islamic State Pages and Profiles in East African Languages Continue to Plague Facebook
Under-Moderated, Unhinged and Ubiquitous: Al-Shabaab and the Islamic State Networks on Facebook: Why Al-Shabaab and Islamic State Pages and Profiles in East African Languages Continue to Plague Facebook

Under-Moderated, Unhinged and Ubiquitous: Al-Shabaab and the Islamic State Networks on Facebook: Why Al-Shabaab and Islamic State Pages and Profiles in East African Languages Continue to Plague Facebook

isdglobal.org

Study: Facebook fails to catch East Africa extremist content

Study: Facebook fails to catch East Africa extremist content

apnews.com

Under-Moderated, Unhinged and Ubiquitous: Al-Shabaab and the Islamic State Networks on Facebook: Why Al-Shabaab and Islamic State Pages and Profiles in East African Languages Continue to Plague Facebook
isdglobal.org · 2022

Executive Summary

The ecosystem of support for Harakaat al-Shabaab al-Mujahideen (al-Shabaab) and the Islamic State in Africa runs across the open web, encrypted messaging applications, niche platforms, and straight through Facebook, unboth…

Study: Facebook fails to catch East Africa extremist content
apnews.com · 2022

NAIROBI, Kenya (AP) — A new study has found that Facebook has failed to catch Islamic State group and al-Shabab extremist content in posts aimed at East Africa as the region remains under threat from violent attacks and Kenya prepares to vo…

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.
Previous IncidentNext Incident

Research

  • Defining an “AI Incident”
  • Defining an “AI Incident Response”
  • Database Roadmap
  • Related Work
  • Download Complete Database

Project and Community

  • About
  • Contact and Follow
  • Apps and Summaries
  • Editor’s Guide

Incidents

  • All Incidents in List Form
  • Flagged Incidents
  • Submission Queue
  • Classifications View
  • Taxonomies

2023 - AI Incident Database

  • Terms of use
  • Privacy Policy
  • Open twitterOpen githubOpen rssOpen facebookOpen linkedin
  • 5fc5e5b