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Automation + AI

Gender Shades: Intersectional Accuracy Disparities in Commercial Gender Classification

Gender Shades: Intersectional Accuracy Disparities in Commercial Gender Classification
2018
Proceedings of Machine Learning Research
Author(s): 
Joy Buolamwini, Timnit Gebru
Gender Shades: Intersectional Accuracy Disparities in Commercial Gender Classification
Source Sector(s)
Academic
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Format
Academic Article

Recent studies demonstrate that machine learning algorithms can discriminate based on classes like race and gender. This academic study presents an approach to evaluate bias present in automated facial analysis algorithms and datasets.

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