Walmart's Bagging-Detection False Positives Exposed Workers to Health Risk

April 15, 2020

The theft-deterring bagging-detection system at Walmart reportedly exposed workers to health risks during the coronavirus pandemic, as false positives led employees to unnecessarily intervene. Promoting trustworthy AI and ensuring safe and secure practices is crucial. For those interested in shaping responsible AI governance and mitigating such incidents, learn more about how HISPI Project Cerebellum TAIM can help manage AI systems effectively.

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MEASURE 2.6 — similarity 0.709, rank 1. TAIM detail and related incidents →
MAP 3.2 — similarity 0.683, rank 2. TAIM detail and related incidents →
MEASURE 2.10 — similarity 0.682, rank 3. TAIM detail and related incidents →

Alleged deployer: walmart
Alleged developer: everseen
Alleged harmed parties: walmart-employees

Source

Data from the AI Incident Database (AIID). Cite this incident: https://incidentdatabase.ai/cite/364

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.