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

Algorithms used by the police are better at identifying some racial groups than others. Why is hardly anyone studying this?