Addressing AI Bias: Amazon Corrects Error Removing Gay and Lesbian Sales Rankings

In a recent incident, Amazon acknowledged an error that had temporarily removed the sales rankings of certain products related to gay and lesbian categories. This misstep showcases the importance of responsible AI governance in ensuring fairness and preventing harm. The HISPI Project Cerebellum TAIM provides guardrails for AI, such as Map and Manage, to prevent similar incidents. Engage with us at JOIN US to contribute to the development of safe and secure AI.

Matched TAIM controls

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

MEASURE 2.11 — similarity 0.488, rank 1. TAIM detail and related incidents →
MEASURE 2.10 — similarity 0.477, rank 2. TAIM detail and related incidents →
MEASURE 1.2 — similarity 0.472, rank 3. TAIM detail and related incidents →

Source

Data from the AI Incident Database (AIID). Cite this incident: https://incidentdatabase.ai/cite/15

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.