Google's Self-Driving Car Involved in a Serious Crash: An Examination of Safe AI

An incident involving Google's self-driving car underlines the need for responsible AI governance and trustworthy models. The collision, while not directly caused by the autonomous vehicle, highlights the complexities in ensuring safe and secure AI. HISPI Project Cerebellum TAIM encourages contributions—JOIN US—to learn more about harm prevention strategies and the development of guardrails for AI.

Matched TAIM controls

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

GOVERN 6.2 — similarity 0.537, rank 1. TAIM detail and related incidents →
MAP 1.6 — similarity 0.532, rank 2. TAIM detail and related incidents →
MEASURE 2.6 — similarity 0.529, 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.