Google Translate's Bias: Female Historians and Male Nurses - A Case for Responsible AI
Recent findings reveal Google Translate's misgendering of professions, labeling female historians as male and vice versa. This AI incident highlights the need for trustworthy AI and underscores the importance of guardrails to prevent such harm. Join us in fostering safe and secure AI development with Project Cerebellum. This AI incident maps to the Govern function in HISPI Project Cerebellum Trusted AI Model (TAIM). 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.