Google's Comment-Ranking System: A Potential Tool for Alt-Right Influence

A recent update to Google's comment-ranking algorithm has raised concerns about its potential impact on online discourse, with some fearing it could provide an avenue for alt-right influence. The system, which uses machine learning to sort comments based on their relevance and quality, lacks safeguards to prevent misinformation and hate speech. This underscores the need for responsible AI governance and trustworthy AI models to ensure safe and secure AI practices.

Matched TAIM controls

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

MAP 1.6 — similarity 0.519, rank 1. TAIM detail and related incidents →
MEASURE 2.10 — similarity 0.509, rank 2. TAIM detail and related incidents →
GOVERN 6.1 — similarity 0.504, rank 3. TAIM detail and related incidents →

Source

Data from the AI Incident Database (AIID). Cite this incident: https://incidentdatabase.ai/cite/13

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.