Addressing Incidents in Autonomous Driving AI: Google's Case

A recent accident involving Google's self-driving car raises critical questions about the safety and governance of autonomous vehicles. This incident underscores the need for responsible AI, including robust harm prevention measures and trustworthy AI models. HISPI Project Cerebellum TAIM, our AI incident database, provides valuable insights to ensure safe and secure AI development. JOIN US to contribute to this important work.

Matched TAIM controls

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

MANAGE 4.3 — similarity 0.540, rank 1. TAIM detail and related incidents →
GOVERN 6.1 — similarity 0.539, rank 2. TAIM detail and related incidents →
MAP 4.1 — similarity 0.538, 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.