Index of /ac0xl/Dont-Be-Evil/Machine%20Learning%20Fairness/
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dr-x 2 4096 Jan 2 2021 ./
dr-x 10 4096 Jan 2 2021 ../
-r-- 1 7123592 Jan 2 2021 AI-with-the-best fairness presentation.pdf
-r-- 1 83725 Jan 2 2021 Allegations of Algorithmic Bias Investigation and Meta-Analysis.pdf
-r-- 1 200074 Jan 2 2021 Comms doc Fairness in machine learning.pdf
-r-- 1 1481345 Jan 2 2021 Deck for participants- 2016-08 Serving Under-Represented Users in Recommenders w
-r-- 1 98638 Jan 2 2021 Definition of Algorithmic Unfairness - PRIVILEGED.pdf
-r-- 1 2525655 Jan 2 2021 Exploring Public Perception of Algorithmic Unfairness.pdf
-r-- 1 21982876 Jan 2 2021 Fair is not the default (go%2Ffair-not-default) (1).pdf
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-r-- 1 153357 Jan 2 2021 ML Fairness-resources.pdf
-r-- 1 171982 Jan 2 2021 ML Fairness.pdf
-r-- 1 6211258 Jan 2 2021 Metrics and Measurements for Algorithmic Fairness in Machine Learning - Privileg
-r-- 1 134257 Jan 2 2021 Privileged Confidential - ML Fairness Communication Best Practices.pdf
-r-- 1 4465079 Jan 2 2021 Seeds of Change- Root causes of algorithmic unfairness, and a path forward.pdf
-r-- 1 294147 Jan 2 2021 go-ml-fairness.pdf
-r-- 1 40268 Jan 2 2021 jen_gennai_01.jpg
-r-- 1 40130 Jan 2 2021 jen_gennai_02.jpg
-r-- 1 112241 Jan 2 2021 ml_fairness_01.jpg
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-r-- 1 47749 Jan 2 2021 mmitchell_01.jpg
-r-- 1 44796 Jan 2 2021 mmitchell_02.jpg
-r-- 1 78705 Jan 2 2021 profair_01.jpg
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-r-- 1 145851 Jan 2 2021 subgroups_01.jpg
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