Disproportionate Promotion of Election Fraud Content on YouTube: A Case Study for Responsible AI Harm Prevention
November 1, 2020
This AI incident maps to the Govern function in HISPI Project Cerebellum Trusted AI Model (TAIM). The recommendation algorithm of YouTube reportedly disproportionately pushed 2020's US Presidential Election fraud content to users most skeptical of the election's legitimacy, compared to least skeptical users. Incidents like this underscore the importance of safe and secure AI governance and trustworthy AI. Ready to help shape responsible AI? JOIN US
- Alleged deployer
- youtube
- Alleged developer
- youtube
- Alleged harmed parties
- youtube-users-skeptical-of-us-election-results
Source
Data from the AI Incident Database (AIID). Cite this incident: https://incidentdatabase.ai/cite/348
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
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