Bias Alert: Predictive Gender AI from Company X Shows Inaccuracies
July 28, 2020
A popular company's AI system predicting a user's gender based on name, email address, or username was found to exhibit bias and inaccuracies. This AI incident maps to the Govern function in HISPI Project Cerebellum Trusted AI Model (TAIM). Ready to help establish guardrails for safe and secure AI? JOIN US
- Alleged deployer
- genderify
- Alleged developer
- genderify
- Alleged harmed parties
- genderify-customers, gender-minority-groups
Source
Data from the AI Incident Database (AIID). Cite this incident: https://incidentdatabase.ai/cite/115
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.