HISPI Project Cerebellum HISPI PROJECT CEREBELLUM

Unintended Consequences of Amazon's AI Camera Usage: Misidentifying Driver Errors

This incident underscores the importance of safe and secure AI, highlighting the need for robust governance mechanisms in AI systems. In this case, Amazon's AI cameras incorrectly penalized drivers for actions they did not perform. This AI incident maps to the Govern function in HISPI Project Cerebellum Trusted AI Model (TAIM). To join us in promoting harm prevention and guardrails for 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.