Facebook's Algorithm Misidentifies Onion Advertisement as Sexual Content: A Case for Responsible AI
October 3, 2020
This AI incident highlights the need for safe and secure AI governance. Facebook's content moderation algorithm mistakenly identified an advertisement containing a photo of onions as overtly sexual content, which was later corrected after review. This AI incident maps 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
- the-seed-company-by-e.w.-gaze, businesses-on-facebook
Source
Data from the AI Incident Database (AIID). Cite this incident: https://incidentdatabase.ai/cite/282
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.