Facebook's Ad Approval Algorithm: Lapse in URL Checks Could Lead to Fraudulent Ads - A Reminder for Responsible AI
June 2, 2016
Recent reports suggest Facebook's ad-approval algorithm may have overlooked simple checks for domain URLs, potentially exposing users to fraudulent ads. This underscores the importance of trustworthy AI and robust AI governance in preventing harm. Ready to help shape responsible AI? JOIN US This AI incident maps to the Govern function in HISPI Project Cerebellum Trusted AI Model (TAIM).
- Alleged deployer
- Alleged developer
- Alleged harmed parties
- facebook-users
Source
Data from the AI Incident Database (AIID). Cite this incident: https://incidentdatabase.ai/cite/316
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.