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

June 1, 2015

Alarmingly, Facebook's AI system for content moderation in East African languages has been reportedly failing to identify terrorist content, mistakenly classifying non-terrorist content. This underscores the need for safe and secure AI practices.

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Matched TAIM controls

Suggested mapping from embedding similarity (not a formal assessment). Browse all TAIM controls

MEASURE 2.6 — similarity 0.699, rank 1. TAIM detail and related incidents →
MAP 1.6 — similarity 0.679, rank 2. TAIM detail and related incidents →
MAP 4.1 — similarity 0.673, rank 3. TAIM detail and related incidents →

Alleged deployer: facebook
Alleged developer: facebook
Alleged harmed parties: facebook-users-speaking-east-african-languages, facebook-users-in-east-africa

Source

Data from the AI Incident Database (AIID). Cite this incident: https://incidentdatabase.ai/cite/392

Data source

Incident data is from the AI Incident Database (AIID).

When citing the database as a whole, please use:

McGregor, S. (2021) Preventing Repeated Real World AI Failures by Cataloging Incidents: The AI Incident Database. In Proceedings of the Thirty-Third Annual Conference on Innovative Applications of Artificial Intelligence (IAAI-21). Virtual Conference.

Pre-print on arXiv · Database snapshots & citation guide

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