Facebook's Months-Long Alleged Software Bug Allows Misinformation onto Users' News Feeds - A Case for Safe and Secure AI
October 1, 2021
An internal Facebook report unveiled a six-month long software bug, potentially causing moderator-flagged posts and harmful content to bypass downranking filters. This incident underscores the importance of trustworthy AI and robust AI governance in preventing harm, and serves as an example of this AI incident mapping to the Govern function in HISPI Project Cerebellum Trusted AI Model (TAIM). Ready to help shape responsible AI? JOIN US
- Alleged deployer
- Alleged developer
- Alleged harmed parties
- facebook-users
Source
Data from the AI Incident Database (AIID). Cite this incident: https://incidentdatabase.ai/cite/197
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.