Examining Twitter's Alleged Gender and Racial Bias in Image Cropping: A Case for Safe and Secure AI
September 18, 2020
Twitter's photo cropping algorithm, scrutinized by researchers, reportedly exhibited bias towards white and female faces in multi-face images. In response, the company discontinued its use on mobile platforms. This AI incident maps to the Govern function in HISPI Project Cerebellum Trusted AI Model (TAIM). Ready to help prevent such incidents and promote trustworthy AI? JOIN US
- Alleged deployer
- Alleged developer
- Alleged harmed parties
- twitter-users, twitter-non-white-users, twitter-non-male-users
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.