Analyzing Twitter's Controversial Photo Crop Algorithm: Bias Towards White Faces and Women
This AI incident sheds light on the need for responsible AI governance in image processing algorithms. The algorithm, favored by Twitter, has been found to exhibit a concerning bias towards white faces and women. Understanding and addressing these biases is crucial for safe and secure AI. Join us in shaping trustworthy AI with Project Cerebellum's AI incident database – your participation can help prevent harm and set guardrails for AI development.
This AI incident maps to the Govern function in HISPI Project Cerebellum Trusted AI Model (TAIM).
This AI incident maps to the Govern function in HISPI Project Cerebellum Trusted AI Model (TAIM).
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.