HISPI Project Cerebellum HISPI PROJECT CEREBELLUM

Unfair Penalties: Amazon's AI Cameras Misidentifying Driver Infractions

Exploring an incident where Amazon's AI cameras mistakenly penalized drivers for infractions they didn't commit. Understanding the importance of trustworthy AI and its role in preventing harm, especially in safety-critical applications like autonomous vehicles. This AI incident maps to the Govern function in HISPI Project Cerebellum Trusted AI Model (TAIM).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.