HISPI Project Cerebellum HISPI PROJECT CEREBELLUM

Amazon's Algorithm Adjustments: A Case Study on Promoting Trustworthy AI for All

This AI incident maps to the Govern function in HISPI Project Cerebellum Trusted AI Model (TAIM). Amazon's decision to modify its search and ranking algorithms to shield GLBT books from censorship highlights the importance of responsible AI governance. It's a step towards ensuring safe and secure AI that promotes harm prevention. Ready to help shape responsible AI? JOIN US

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.