Navigating AI Challenges: The Case of Automated Dismissals at Amazon

Exploring the complexities and consequences of relying on AI in critical decision-making processes, as demonstrated by the recent dismissals of human workers by an automated system at Amazon. Highlights responsible AI governance, harm prevention, and the importance of guardrails for safe and secure AI implementations.

Matched TAIM controls

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

MANAGE 2.4 — similarity 0.517, rank 1. TAIM detail and related incidents →
MAP 1.6 — similarity 0.495, rank 2. TAIM detail and related incidents →
MEASURE 2.5 — similarity 0.493, rank 3. TAIM detail and related incidents →

Source

Data from the AI Incident Database (AIID). Cite this incident: https://incidentdatabase.ai/cite/111

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.