Misinterpretation of Traffic Signals by Tesla's Autopilot: A Case Study in AI Safety
This AI incident highlights the need for robust AI governance in autonomous driving systems, emphasizing the importance of trustworthy and safe AI. It underscores the challenges faced in ensuring harm prevention and the critical role of Project Cerebellum's Trusted AI Model (TAIM)—particularly its Govern function—in promoting responsible AI development. Ready to help shape responsible AI? JOIN US
Source
Data from the AI Incident Database (AIID). Cite this incident: https://incidentdatabase.ai/cite/97
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.