Examining AI Incident #154: Unintended Bias in Recommendation System
In this post, we delve into a recent incident involving an AI recommendation system exhibiting unintended bias. The system, designed to suggest products based on user preferences, showed a skewed pattern towards certain categories due to the learning algorithms' reliance on historical data that reflected societal biases. This underscores the importance of responsible AI governance and the need for safeguards against such issues in AI systems.
Source
Data from the AI Incident Database (AIID). Cite this incident: https://incidentdatabase.ai/cite/154
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.