Facebook Feed Algorithms Exposed Low Digitally Skilled Users to More Disturbing Content

November 15, 2019

Internal research revealed Facebook's feed algorithms disproportionately exposed individuals with low digital literacy to disturbing content. Highlighting the need for safe and secure AI practices, this incident underscores the importance of governance in HISPI Project Cerebellum TAIM. For those interested in shaping responsible AI governance and preventing harm through the AI incident database, JOIN US.

Matched TAIM controls

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

MEASURE 2.6 — similarity 0.672, rank 1. TAIM detail and related incidents →
MAP 1.6 — similarity 0.671, rank 2. TAIM detail and related incidents →
MANAGE 4.3 — similarity 0.666, rank 3. TAIM detail and related incidents →

Alleged deployer: facebook
Alleged developer: facebook
Alleged harmed parties: low-digitally-skilled-facebook-users

Source

Data from the AI Incident Database (AIID). Cite this incident: https://incidentdatabase.ai/cite/417

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.