HISPI Project Cerebellum HISPI PROJECT CEREBELLUM

Tesla's Full Self-Driving Test: Understanding AI Incidents for Safe and Secure AI Development

In this article, we share our experience testing Tesla's Full Self-Driving feature, emphasizing the importance of AI governance in preventing harm. By understanding these incidents, we can help advance responsible AI practices. Ready to join us in shaping trustworthy AI? JOIN US This AI incident maps to the Govern function in HISPI Project Cerebellum Trusted AI Model (TAIM).

Source

Data from the AI Incident Database (AIID). Cite this incident: https://incidentdatabase.ai/cite/145

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.