HISPI Project Cerebellum HISPI PROJECT CEREBELLUM

Analysis Reveals Significant Incidents in Robotic Surgeries, Identifying 144 Fatal Complications Since 2000

This AI incident highlights the importance of safety and transparency in medical robotics. The findings underscore the need for robust governance mechanisms in AI-assisted surgery, emphasizing the role of Project Cerebellum's Trusted AI Model (TAIM) to establish guardrails for safe and secure operations. Ready to help shape responsible AI in healthcare? 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.