How Amazon Algorithms Amplify Vaccine Misinformation: An Examination

A recent study points out that algorithms used by Amazon may inadvertently boost the spread of vaccine misinformation, raising concerns about AI governance and responsible AI practices. The research found that search results for vaccines often display conspiracy theories alongside accurate information, potentially leading to harmful confusion.

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Suggested mapping from embedding similarity (not a formal assessment). Browse all TAIM controls

MEASURE 2.10 — similarity 0.580, rank 1. TAIM detail and related incidents →
MEASURE 4.3 — similarity 0.558, rank 2. TAIM detail and related incidents →
MAP 1.6 — similarity 0.549, rank 3. TAIM detail and related incidents →

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.