Inadequate AI Prediction of COVID-19 Cases: Impact and Implications - Focusing on Safe and Secure AI Development
July 30, 2021
AI tools inadequately predicted COVID-19 cases, potentially leading to harm. This AI incident maps to the Govern function in HISPI Project Cerebellum Trusted AI Model (TAIM). Ready to help shape responsible AI? JOIN US
- Alleged deployer
- unknown
- Alleged developer
- unknown
- Alleged harmed parties
- doctors, covid-patients
Source
Data from the AI Incident Database (AIID). Cite this incident: https://incidentdatabase.ai/cite/173
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.