Understanding AI Bias in Social Media Ad Approval: A Case Study on Fashion Ads
In this article, we explore an incident where fashion ads were repeatedly rejected by Facebook's AI system. This case study highlights the challenges of AI bias and the importance of responsible AI governance. The incident maps to the Govern function in HISPI Project Cerebellum Trusted AI Model (TAIM). To help prevent such incidents, join us in shaping safe and secure AI systems through our collaborative efforts at Project Cerebellum.
Source
Data from the AI Incident Database (AIID). Cite this incident: https://incidentdatabase.ai/cite/142
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.