Racial Bias in Emotion Detection Models: An Examination of Face++ and Microsoft's Face API
November 9, 2018
Investigation reveals disparate performance along racial lines, with smiling or ambiguous facial photos for Black faces more frequently classified as negative emotions compared to white faces by Face++ and Microsoft's Face API. This AI incident maps to the Govern function in HISPI Project Cerebellum Trusted AI Model (TAIM). Ready to help prevent such incidents? JOIN US
- Alleged deployer
- megvii, microsoft
- Alleged developer
- megvii, microsoft
- Alleged harmed parties
- black-people
Source
Data from the AI Incident Database (AIID). Cite this incident: https://incidentdatabase.ai/cite/454
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
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