via TED Radio Hour
Jan. 26, 2018
Buolamwini, J., Gebru, T. "Gender Shades: Intersectional Accuracy Disparities in Commercial Gender Classification." Proceedings of Machine Learning Research 81:1–15, 2018 Conference on Fairness, Accountability, and Transparency
Joy Buolamwini showed facial-recognition systems consistently giving the wrong gender for famous women of color.
All people are created equal, but in the eyes of the algorithm, not all faces are just yet.A new study from MIT and Microsoft r...
Buolamwini, J. (2017, MIT Master's Thesis) Gender Shades: Intersectional Phenotypic and Demographic Evaluation of Face Datasets and Gender Classifiers