HISPI Project Cerebellum HISPI PROJECT CEREBELLUM

Robotic Surgery: Assessing Safety and Complications - A Review of Incidents Since 2000

This study underscores the need for robust AI governance in medical robotics, revealing 144 deaths and numerous complications over two decades. By examining these incidents, we can work towards safe and secure AI through Project Cerebellum's AI incident database and trustworthy AI model. Ready to help shape responsible 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/5

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.