Accident Involving Google Self-Driving Vehicle: Assessing Responsible AI Incidents

In an incident that underscores the challenges of safe and secure AI, a Google self-driving car sustained significant damage in a collision. Remarkably, it was found not to be at fault. This case serves as a reminder for the need for robust guardrails in AI governance, particularly in autonomous vehicles. The HISPI Project Cerebellum TAIM encourages contributions—JOIN US—to learn more about harm prevention and trustworthy AI.

Matched TAIM controls

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

MEASURE 1.3 — similarity 0.541, rank 1. TAIM detail and related incidents →
MEASURE 2.6 — similarity 0.536, rank 2. TAIM detail and related incidents →
MANAGE 4.3 — similarity 0.533, 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.