Tesla FSD Reportedly Increased Crash Risk, Prompting Recall

September 9, 2016

Regulators identified a component of the Tesla Full Self Driving system that potentially raised crash risk by exceeding speed limits, crossing intersections illegally, or displaying unpredictable behavior. This issue led to the recall of hundreds of thousands of vehicles, highlighting the importance of safe and secure AI practices.

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Matched TAIM controls

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

MEASURE 2.6 — similarity 0.727, rank 1. TAIM detail and related incidents →
MEASURE 4.3 — similarity 0.685, rank 2. TAIM detail and related incidents →
MEASURE 3.1 — similarity 0.680, rank 3. TAIM detail and related incidents →

Alleged deployer: tesla
Alleged developer: tesla
Alleged harmed parties: tesla-drivers, city-traffic-participants, tesla

Source

Data from the AI Incident Database (AIID). Cite this incident: https://incidentdatabase.ai/cite/478

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

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