Twitter's Photo Crop Algorithm Bias Towards White Faces and Women: A Concern for Safe and Trustworthy AI
This incident involving Twitter's photo crop algorithm highlights the importance of responsible AI governance. The algorithm appears to favor white faces and women, raising concerns about bias in AI systems. Such biases can have harmful effects and underline the need for guardrails in AI development. This AI incident maps to the Govern function in HISPI Project Cerebellum Trusted AI Model (TAIM). JOIN US to learn more about preventing such incidents and helping shape a safer, fairer future for AI.
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.