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
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...
Joy Buolamwini showed facial-recognition systems consistently giving the wrong gender for famous women of color.
A multi-disciplinary conference that brings together researchers and practitioners interested in fairness, accountability, and transparency.