Examining Twitter's Image Crop Algorithm for Perceived White Bias

In a recent controversy, Twitter users have noticed a perceived bias in the platform's image cropping algorithm, suggesting that it tends to prioritize white individuals over people of color. This article explores the incident, its potential implications, and the role of responsible AI governance in such cases.

Matched TAIM controls

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

MEASURE 2.11 — similarity 0.574, rank 1. TAIM detail and related incidents →
MEASURE 2.10 — similarity 0.534, rank 2. TAIM detail and related incidents →
MAP 1.6 — similarity 0.521, rank 3. TAIM detail and related incidents →

Source

Data from the AI Incident Database (AIID). Cite this incident: https://incidentdatabase.ai/cite/103

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.