Gender Biases in Google Translate

April 13, 2017

In 2016, a Cornell University study shed light on the implicit gender bias in Google Translate's assignment of genders to occupations, which often favored male-dominated roles. This is an example of the importance of trustworthy AI and adhering to AI governance principles for safe and secure AI practices.

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Matched TAIM controls

Suggested mapping from embedding similarity (not a formal assessment). Browse all TAIM controls

GOVERN 3.1 — similarity 0.647, rank 1. TAIM detail and related incidents →
MAP 1.2 — similarity 0.627, rank 2. TAIM detail and related incidents →
GOVERN 1.2 — similarity 0.620, rank 3. TAIM detail and related incidents →

Alleged deployer: google
Alleged developer: google
Alleged harmed parties: women

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.