via TED Radio Hour
Jan. 26, 2018
A multi-disciplinary conference that brings together researchers and practitioners interested in fairness, accountability, and transparency.
Buolamwini, J. (2017, MIT Master's Thesis) Gender Shades: Intersectional Phenotypic and Demographic Evaluation of Face Datasets and Gender Classifiers
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
Real-world biases and artificial intelligence