Failure to Communicate: Unraveling an AI Incident

Delving into the complexities of an AI system failure, we examine a recent case that highlights the importance of responsible AI governance in preventing harm and ensuring trustworthy AI operations. The incident reveals a lack of clear communication protocols, underscoring the need for effective guardrails and management strategies. Learn more about our efforts to enhance AI safety through HISPI Project Cerebellum TAIM—JOIN US.

Matched TAIM controls

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

MANAGE 4.3 — similarity 0.469, rank 1. TAIM detail and related incidents →
MANAGE 2.4 — similarity 0.463, rank 2. TAIM detail and related incidents →
GOVERN 6.2 — similarity 0.463, rank 3. TAIM detail and related incidents →

Source

Data from the AI Incident Database (AIID). Cite this incident: https://incidentdatabase.ai/cite/3

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.