Higher Serious Injury Rates in Amazon's Robotic Fulfillment Centers: A Case for Safe and Secure AI
September 29, 2020
Exploring the safety concerns in Amazon's robotic fulfillment centers, this incident underscores the need for trustworthy AI. Improving AI governance can help prevent such incidents. This AI incident maps to the Govern function in HISPI Project Cerebellum Trusted AI Model (TAIM). Ready to help shape responsible AI? JOIN US
- Alleged deployer
- amazon
- Alleged developer
- amazon
- Alleged harmed parties
- amazon-fulfillment-center-workers
Source
Data from the AI Incident Database (AIID). Cite this incident: https://incidentdatabase.ai/cite/125
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.