Autopilot Incident Under Investigation by NHTSA: Implications for Responsible AI Governance

Recent incident involving a fatality while Tesla's Autopilot was active has sparked renewed discussions about the need for robust and responsible AI governance. The National Highway Traffic Safety Administration (NHTSA) has initiated an investigation into the details of the crash. Such incidents underscore the importance of Safe and Secure AI, especially in critical applications like autonomous vehicles.

Matched TAIM controls

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

GOVERN 6.2 — similarity 0.542, rank 1. TAIM detail and related incidents →
MEASURE 2.6 — similarity 0.541, rank 2. TAIM detail and related incidents →
GOVERN 4.3 — similarity 0.535, rank 3. TAIM detail and related incidents →

Source

Data from the AI Incident Database (AIID). Cite this incident: https://incidentdatabase.ai/cite/20

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.