Facebook's Automated Tools Failed to Adequately Remove Hate Speech, Violence, and Incitement

March 1, 2021

An internal investigation revealed that Facebook's automated moderation tools are significantly less effective than human moderators at removing hate speech, violence, and incitement content. This underscores the importance of trustworthy AI governance and 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 0.679, rank 1. TAIM detail and related incidents →
MAP 1.6 — similarity 0.667, rank 2. TAIM detail and related incidents →
GOVERN 1.1 — similarity 0.659, rank 3. TAIM detail and related incidents →

Alleged deployer: facebook
Alleged developer: facebook
Alleged harmed parties: facebook-users

Source

Data from the AI Incident Database (AIID). Cite this incident: https://incidentdatabase.ai/cite/129

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

We use weekly snapshots of the AIID for stable reference. For the official suggested citation of a specific incident, use the “Cite this incident” link on each incident page.