Starbucks Worker's Struggle with Kronos Shift Scheduling Software: A Case for Responsible AI

Recent reports highlight the challenges faced by a Starbucks employee due to issues with Kronos shift scheduling software. This incident underscores the need for safe and secure AI, as such systems are relied upon in many industries for crucial operations. The HISPI Project Cerebellum TAIM aims to provide governance and management solutions for trustworthy AI models like this one. Engage with us through JOIN US to learn more about our efforts in harm prevention and AI incident database.

Matched TAIM controls

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

MANAGE 2.2 — similarity 0.431, rank 1. TAIM detail and related incidents →
MANAGE 3.2 — similarity 0.430, rank 2. TAIM detail and related incidents →
MANAGE 4.2 — similarity 0.426, rank 3. TAIM detail and related incidents →

Source

Data from the AI Incident Database (AIID). Cite this incident: https://incidentdatabase.ai/cite/10

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.