Incident Analysis: Amazon's AI Cameras Erroneously Penalizing Delivery Drivers – Harm Prevention in AI
September 20, 2021
This AI incident highlights the need for robust guardrails in AI governance. Amazon's automated performance evaluation system, utilizing AI-powered cameras, mistakenly penalized delivery drivers for non-existent mistakes. Such errors can adversely affect drivers' eligibility for bonuses and rewards. Ensuring safe and secure AI operation is crucial. This AI incident maps to the Govern function in HISPI Project Cerebellum Trusted AI Model (TAIM). Ready to help shape trustworthy AI? JOIN US
- Alleged deployer
- amazon
- Alleged developer
- netradyne
- Alleged harmed parties
- amazon-delivery-drivers, amazon-workers
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.