Google's Autonomous Vehicle Involved in Significant Incident: Responsible AI Governance Highlighted

In a significant development, Google's self-driving car was recently involved in a crash. The incident underscores the importance of robust AI governance and safe and secure AI practices. In this instance, the autonomous vehicle failed to react appropriately to a unexpected road condition, leading to the collision. This emphasizes the need for stringent guardrails for AI to prevent such occurrences in the future.

Matched TAIM controls

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

MEASURE 2.6 — similarity 0.553, rank 1. TAIM detail and related incidents →
GOVERN 6.2 — similarity 0.535, rank 2. TAIM detail and related incidents →
MEASURE 1.3 — similarity 0.526, rank 3. TAIM detail and related incidents →

Source

Data from the AI Incident Database (AIID). Cite this incident: https://incidentdatabase.ai/cite/71

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.