Tiny Changes Let False Claims About COVID-19, Voting Evade Facebook Fact Checks

October 9, 2020

Avaaz, an international advocacy group, released a report highlighting flaws in Facebook's misinformation detection software. The report revealed that 42% of false information posts, predominantly about COVID-19 and the 2020 U.S. Presidential Election, were not properly labeled. This underscores the importance of responsible AI governance and the need for safe and secure AI practices. For those interested in shaping trustworthy AI initiatives, consider joining Project Cerebellum and learn more about our efforts to map, manage, and measure such incidents through HISPI Project Cerebellum TAIM.

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Matched TAIM controls

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

MEASURE 2.6 — similarity 0.638, rank 1. TAIM detail and related incidents →
MEASURE 2.10 — similarity 0.637, rank 2. TAIM detail and related incidents →
MEASURE 4.3 — similarity 0.624, rank 3. TAIM detail and related incidents →

Alleged deployer: facebook
Alleged developer: facebook
Alleged harmed parties: facebook-users, facebook-users-interested-in-covid-information, facebook-users-interested-in-the-us-presidential-election

Source

Data from the AI Incident Database (AIID). Cite this incident: https://incidentdatabase.ai/cite/84

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.