How AI Governance Failed: Unchecked Misinformation on COVID-19 and Voting Spreads on Facebook
This incident highlights the urgent need for safe and secure AI, especially in crucial areas like public health and elections. The failure to prevent the spread of false claims about COVID-19 and voting on Facebook underscores the importance of robust governance mechanisms. This AI incident maps to the Govern function in HISPI Project Cerebellum Trusted AI Model (TAIM). JOIN US for a chance to help improve responsible AI and create guardrails for the future.
Source
Data from the AI Incident Database (AIID). Cite this incident: https://incidentdatabase.ai/cite/84
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.