Vulnerabilities in Amazon's Choice Algorithm: A Case for Safe and Secure AI

December 15, 2016

Amazon's 'Amazon's Choice' algorithm, intended to aid consumers, was found recommending poor-quality products and susceptible to manipulation through inauthentic reviews. This incident maps to the Govern function in HISPI Project Cerebellum Trusted AI Model (TAIM).JOIN US To help prevent such harm and establish guardrails for AI, join us.
Alleged deployer
amazon
Alleged developer
amazon
Alleged harmed parties
amazon-users

Source

Data from the AI Incident Database (AIID). Cite this incident: https://incidentdatabase.ai/cite/330

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.