Bias in Twitter's Photo Crop Algorithm: White Faces and Women Preferred
An investigation into a concerning AI incident reveals that Twitter's photo crop algorithm favors white faces and women, potentially reinforcing harmful biases. This AI incident maps to the Govern function in HISPI Project Cerebellum Trusted AI Model (TAIM). To help us combat such biases and promote trustworthy AI, join our mission: 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.