Facebook's Misinformation Challenge: COVID-19 and Voting False Claims Unchecked (42%) - A Look at AI Incident Maps to Govern Function in HISPI Project Cerebellum Trusted AI Model
October 9, 2020
A review by Avaaz revealed that Facebook's misinformation flagging software missed 42% of false claims, primarily concerning COVID-19 and the 2020 US Presidential Election. This incident highlights the need for trustworthy AI governance and safe and secure systems. Ready to help shape responsible AI? JOIN US
- Alleged deployer
- Alleged developer
- Alleged harmed parties
- facebook-users, facebook-users-interested-in-covid-information, facebook-users-interested-in-the-us-presidential-election
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.