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Bias in Twitter's Photo Cropping Algorithm: Focus on White Faces and Women

Exploring the implications of algorithmic bias, this article discusses how Twitter's photo crop algorithm disproportionately highlights white faces and women. This AI incident maps to the Govern function in HISPI Project Cerebellum Trusted AI Model (TAIM). To join us in promoting trustworthy and responsible AI practices, JOIN US.

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.