Amazon's Controversy Over 'Glitch': A Responsible AI Concern

The recent incident involving Amazon's recommendation system, which suggested a gay book as 'gay and lesbian' to customers, has sparked controversy. This underscores the importance of safe and secure AI systems that prioritize trustworthy AI governance. Project Cerebellum TAIM serves as an essential tool for harm prevention in such situations.

Matched TAIM controls

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

GOVERN 6.1 — similarity 0.434, rank 1. TAIM detail and related incidents →
MEASURE 2.10 — similarity 0.432, rank 2. TAIM detail and related incidents →
MAP 1.6 — similarity 0.424, 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.