Containing AI Incidents: Lessons Learned from the Bel-Air Blaze

In the face of anticipated strong winds, firefighters have been battling to contain a blaze in Bel-Air, California. This event serves as a stark reminder of the importance of incident management and the need for robust safety measures. Similarly, AI practitioners must learn from past incidents to ensure responsible and trustworthy AI deployment.

Matched TAIM controls

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

GOVERN 6.2 — similarity 0.424, rank 1. TAIM detail and related incidents →
MANAGE 1.3 — similarity 0.420, rank 2. TAIM detail and related incidents →
MEASURE 2.13 — similarity 0.420, rank 3. TAIM detail and related incidents →

Source

Data from the AI Incident Database (AIID). Cite this incident: https://incidentdatabase.ai/cite/22

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.