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