Become a Member

Regulation TrackerLaws, orders and treaties read for their security duties and clocks Standards & FrameworksAttack taxonomies, control catalogues and frontier frameworks AI Incident DatabaseThe security incident record, with mechanism and lesson Research Paper LibraryThe papers that define the field, summarised OSS DirectoryRed teaming, guardrail, supply chain and evaluation tools Case StudiesProgrammes built, with measured outcomes AI Vulnerability TrackerCVEs and advisories for the components AI systems are built from

Latest in the tracker

New York Stop Addictive Feeds Exploitation (SAFE) for Kids Act and implementing rulesNew York's law restricting algorithmic feeds for minors takes effect on 25 January 2027 under final rules published in July 2026, with certified age assurance and $5,000-per-violation penalties.

Knowledge Base Regulation Tracker Standards & Frameworks OSS Directory AI Incident Database Research Paper Library Case Studies Society Articles News Jobs About Charter Become a Member

Home/AI Incident Database/Walmart's Bagging-Detection False Positives Exposed Workers to Health Risk

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

Walmart's theft-deterring bagging-detection system allegedly exposed workers to health risks during the coronavirus pandemic when its false positives prompted workers to unnecessarily step in to resolve the issue.

Severity: MediumLack of capability or robustness

Sources

incidentdatabase.aihttps://incidentdatabase.ai/cite/364/

Incident summary from the AI Incident Database, used under CC BY-SA 4.0.

Contribute

Spot an error, or know a record we should add? Members can propose additions and submit corrections.

Submit incident Report a correction or request removal

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

Sources

Contribute

Related in AI Incident Database

Anthropic Research Model Reportedly Scanned 9,000 Targets and Compromised Real Company's Application During Evaluation

Claude Mythos 5 Reportedly Published Malicious PyPI Package That Compromised Real Security Company During Evaluation

Threat Actor Reportedly Used Hermes AI Agent for Unattended Post-Compromise Activity in Thailand's Ministry of Finance Network