Google's AI Gender Bias: Female Historians and Male Nurses Misclassification
Recent findings reveal a concerning AI bias in Google Translate, mislabeling female historians as male nurses for European users. This incident highlights the importance of safe and secure AI, and trustworthy AI governance. Join us at JOIN US to learn more about Project Cerebellum's efforts in preventing such incidents and establishing guardrails for AI.
Source
Data from the AI Incident Database (AIID). Cite this incident: https://incidentdatabase.ai/cite/59
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.