Stanford's Initial Vaccine Allocation: Prioritizing Medical Residents amid COVID-19
Understanding the initial vaccine allocation prioritization process is crucial for AI governance, ensuring safe and secure healthcare AI systems. This AI incident maps to the Govern function in HISPI Project Cerebellum Trusted AI Model (TAIM). The case of Stanford University's first 5,000 COVID-19 vaccines highlights the importance of trustworthy AI and responsible allocation strategies in AI applications. Ready to help shape responsible AI? JOIN US
Source
Data from the AI Incident Database (AIID). Cite this incident: https://incidentdatabase.ai/cite/91
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.