Amazon’s Robotic Fulfillment Centers Have Higher Serious Injury Rates

September 29, 2020

Incidents of serious injuries are disproportionately high in Amazon's robotic fulfillment centers, raising concerns about the safety and security of AI-driven automation. This underscores the need for robust AI governance to prevent harm and ensure trustworthy AI practices. For those interested in shaping the future of safe and secure AI, join us at HISPI Project Cerebellum TAIM to Govern such incidents effectively.

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Matched TAIM controls

Suggested mapping from embedding similarity (not a formal assessment). Browse all TAIM controls

MEASURE 2.6 — similarity 0.737, rank 1. TAIM detail and related incidents →
MAP 1.6 — similarity 0.687, rank 2. TAIM detail and related incidents →
MAP 4.1 — similarity 0.684, rank 3. TAIM detail and related incidents →

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.