Google Translate's Gender Bias: Female Historians and Male Nurses Misclassification
Recent reports reveal a gender bias issue in Google Translate, misclassifying female historians as male, and vice versa for nurses. This AI incident maps to the Govern function in HISPI Project Cerebellum Trusted AI Model (TAIM). Join us in promoting trustworthy AI and safeguarding against such incidents. JOIN US
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.