Analyzing Algorithmic Bias in E-commerce Vaccine Misinformation: A Step Towards Responsible AI

This AI incident highlights the importance of scrutinizing algorithmically curated content for misleading vaccine information on e-commerce platforms. By understanding and mitigating such biases, we can promote trustworthy AI and contribute to harm prevention efforts in Project Cerebellum's AI governance initiatives. 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.