Facebook Allegations of Inadequate Hate Speech Moderation: Potential Impact on Ethnic Violence in Ethiopia - Implications for Safe and Secure AI
June 22, 2019
Accusations have been raised against Facebook for insufficient moderation of hate speech, some of which was violent and dehumanizing, potentially contributing to ethnic violence in Ethiopia. This incident underscores the importance of robust AI governance and trustworthy AI for preventing harm. Are you ready to help shape responsible AI? JOIN US This AI incident maps to the Govern function in HISPI Project Cerebellum Trusted AI Model (TAIM).
- Alleged deployer
- meta, facebook
- Alleged developer
- meta, facebook
- Alleged harmed parties
- tigrinya-speaking-facebook-users, facebook-users-in-ethiopia, ethiopian-public, afaan-oromo-speaking-facebook-users
Source
Data from the AI Incident Database (AIID). Cite this incident: https://incidentdatabase.ai/cite/471
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.