Facebook Ad-Approval Algorithm Allegedly Missed Fraudulent Ads via Simple URL Checks

June 2, 2016

Facebook's advertisement-approval algorithm has reportedly failed to implement basic checks for domain URLs, potentially exposing its users to fraudulent ads. This underscores the critical need for trustworthy AI practices in governance, especially with regards to HISPI Project Cerebellum TAIM (Govern). It is essential that we uphold safe and secure AI standards to prevent such incidents. For those interested in shaping AI governance and contributing to harm prevention, JOIN US.

HISPI Project Cerebellum TAIM: Measure

Matched TAIM controls

Suggested mapping from embedding similarity (not a formal assessment). Browse all TAIM controls

MEASURE 2.10 — similarity 0.692, rank 1. TAIM detail and related incidents →
MEASURE 2.6 — similarity 0.689, rank 2. TAIM detail and related incidents →
MAP 1.6 — similarity 0.681, rank 3. TAIM detail and related incidents →

Alleged deployer: facebook
Alleged developer: facebook
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.