HISPI Project Cerebellum HISPI PROJECT CEREBELLUM

Misinterpretations in Amazon's AI-powered Camera System: A Case of Unfair Punishments

Recent incidents involving Amazon's AI camera system have highlighted the need for trustworthy AI. The system, designed to monitor driver behavior, has been found punishing drivers for errors they did not commit. This AI incident maps to the Govern function in HISPI Project Cerebellum Trusted AI Model (TAIM). Ready to help ensure safe and secure AI? JOIN US

Source

Data from the AI Incident Database (AIID). Cite this incident: https://incidentdatabase.ai/cite/116

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.