Examining E-commerce Algorithms for the Prevention of Vaccine Misinformation - A Responsible AI Approach
This AI incident highlights the need for trustworthy AI in e-commerce platforms, focusing on algorithmic curation. By auditing these systems, we aim to prevent the spread of vaccine misinformation and uphold safe and secure AI practices. This effort aligns with Project Cerebellum's mission for responsible AI governance. Ready to help shape responsible AI? 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/139
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.