Tesla's Autopilot: Assessing Responsibility in AI Incident

A recent collision involving a Tesla vehicle operating on Autopilot has raised questions about the role of AI governance in ensuring safe and secure autonomous driving. The incident underscores the importance of robust trustworthy AI models, as well as guardrails for AI to prevent such incidents.

Matched TAIM controls

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

MEASURE 2.6 — similarity 0.549, rank 1. TAIM detail and related incidents →
MANAGE 4.3 — similarity 0.541, rank 2. TAIM detail and related incidents →
MAP 4.2 — similarity 0.540, 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.