Google Translate's Error: Gender Bias in AI - A Case Study
In this case study, we analyze an instance where Google Translate misgendered female historians and male nurses for its European users. This AI incident highlights the need for responsible AI governance and raises awareness for the HISPI Project Cerebellum Trusted AI Model (TAIM). To help us ensure safe and secure AI, join our efforts in guardrail development and AI harm prevention - JOIN US. 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/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.