Facebook's Struggle to Combat Misinformation: COVID-19 and Voting False Claims
This incident underscores the challenges in maintaining safe and secure AI, particularly in content moderation systems. The failure of Facebook's fact-checking mechanism allows misleading claims about COVID-19 and voting to evade detection. By improving governance and setting robust guardrails for AI, we can prevent such 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).
Source
Data from the AI Incident Database (AIID). Cite this incident: https://incidentdatabase.ai/cite/84
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.