Near Collision of Rival Self-Driving Cars Highlights Need for AI Governance

In a recent incident, self-driving vehicles from Google and Delphi Automotive came close to colliding, underscoring the importance of responsible AI governance. The autonomous cars, operated by test drivers in separate manual mode, were driving on a public road when they encountered an unexpected situation, causing them to swerve towards each other. The incident, though fortunately not resulting in a collision, highlights the need for effective safeguards and guardrails for AI.

Matched TAIM controls

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

MAP 1.6 — similarity 0.533, rank 1. TAIM detail and related incidents →
MAP 4.2 — similarity 0.514, rank 2. TAIM detail and related incidents →
MAP 1.3 — similarity 0.512, rank 3. TAIM detail and related incidents →

Source

Data from the AI Incident Database (AIID). Cite this incident: https://incidentdatabase.ai/cite/25

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.