Gender Shades: Intersectional Accuracy Disparities in Commercial Gender Classification. Buolamwini, J. & Gebru, T. Proceedings of Machine Learning Research. Conference on Fairness, Accountability, and Transparency, 2018. 🏷️ /unread
Paper bibtex @article{buolamwini2018,
title = {Gender {Shades}: {Intersectional} {Accuracy} {Disparities} in {Commercial} {Gender} {Classification}},
volume = {81},
shorttitle = {性别阴影:商业性别分类中的跨部门准确性差异},
url = {https://dam-prod.media.mit.edu/x/2018/02/06/Gender%20Shades%20Intersectional%20Accuracy%20Disparities.pdf},
language = {en},
journal = {Proceedings of Machine Learning Research. Conference on Fairness, Accountability, and Transparency},
author = {Buolamwini, Joy and Gebru, Timnit},
year = {2018},
note = {🏷️ /unread},
keywords = {/unread},
}
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