Database Analysis of Robotic Surgery Incidents: Highlighting the Need for Responsible AI and Safe and Secure Surgical Robots
July 13, 2015
In-depth examination of a database containing 8,061 robotic surgery incidents over the period of 2000 to 2013. This analysis reveals 1,391 instances resulting in injury and 144 fatalities. These AI-driven tools underscore the importance of trustworthy AI, responsible governance, and harm prevention, especially within life-critical applications like surgical robots. Ready to help shape responsible AI? JOIN US
- Alleged deployer
- hospitals, doctors
- Alleged developer
- intuitive-surgical
- Alleged harmed parties
- patients
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.