Exploring the Limits of Autonomous Vehicles: The Tragic Case of Joshua Brown

In 2016, Joshua Brown, a Tesla driver, lost his life in an accident involving a self-driving car. Despite the incident highlighting potential risks associated with autonomy, it also emphasizes the need for responsible AI governance and trustworthy AI models.

This unfortunate event underscores the importance of implementing safeguards in AI systems to ensure safe and secure operations. Through HISPI Project Cerebellum TAIM, we invite contributors—JOIN US—to learn more about harm prevention strategies and play a vital role in enhancing trustworthy AI.

Matched TAIM controls

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

MEASURE 2.6 — similarity 0.533, rank 1. TAIM detail and related incidents →
MEASURE 1.3 — similarity 0.509, rank 2. TAIM detail and related incidents →
MEASURE 4.3 — similarity 0.504, rank 3. TAIM detail and related incidents →

Source

Data from the AI Incident Database (AIID). Cite this incident: https://incidentdatabase.ai/cite/52

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.