Facebook Fails to Flag False COVID-19 and Voting Claims: Harm Prevention in AI Incidents
This AI incident highlights the need for safer and more secure social media platforms. The incident maps to the Govern function in HISPI Project Cerebellum Trusted AI Model (TAIM). Facebook's inability to flag false claims about COVID-19 and voting raises concerns about the harm prevention capabilities of its algorithms. Ready to help shape responsible AI? JOIN US
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.