Facebook's Automated Advertising Contains Anti-Semitic Categories: A Case for Responsible AI and Harm Prevention
March 4, 2014
An incident involving Facebook's automated advertising system highlighted the need for trustworthy AI. The categories generated using users' interests contained offensive anti-Semitic labels such as 'Jew hater' and 'How to burn Jews'. This AI incident maps to the Govern function in HISPI Project Cerebellum Trusted AI Model (TAIM). Ready to help prevent such incidents? JOIN US
- Alleged deployer
- Alleged developer
- Alleged harmed parties
- jewish-people
Source
Data from the AI Incident Database (AIID). Cite this incident: https://incidentdatabase.ai/cite/380
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.