HISPI Project Cerebellum HISPI PROJECT CEREBELLUM

Analyzing At-Fault Incidents in Autonomous Robotaxis: Waymo, Pony.AI, Olli, and the Road Ahead for Responsible AI Governance

Incidents involving at-fault robotaxis from Waymo, Pony.AI, and Olli highlight the importance of trustworthy AI governance in autonomous vehicles. This AI incident maps to the Govern function in HISPI Project Cerebellum Trusted AI Model (TAIM). Join us in ensuring safe and secure AI development and deployment.JOIN US

Source

Data from the AI Incident Database (AIID). Cite this incident: https://incidentdatabase.ai/cite/151

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.