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Fairness Evaluation in Text Classification: Machine Learning Practitioner Perspectives of Individual and Group Fairness

Fairness Evaluation in Text Classification: Machine Learning Practitioner Perspectives of Individual and Group Fairness

Zahra Ashktorab
Benjamin Hoover
Mayank Agarwal
Casey Dugan
Werner Geyer
Han Yang
Mikhail Yurochkin
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Papers citing "Fairness Evaluation in Text Classification: Machine Learning Practitioner Perspectives of Individual and Group Fairness"

2 / 2 papers shown
Title
EARN Fairness: Explaining, Asking, Reviewing, and Negotiating Artificial Intelligence Fairness Metrics Among Stakeholders
EARN Fairness: Explaining, Asking, Reviewing, and Negotiating Artificial Intelligence Fairness Metrics Among Stakeholders
Lin Luo
Yuri Nakao
Mathieu Chollet
Hiroya Inakoshi
Simone Stumpf
127
1
0
16 Jul 2024
Right the docs: Characterising voice dataset documentation practices used in machine learning
Right the docs: Characterising voice dataset documentation practices used in machine learning
Kathy Reid
Elizabeth T. Williams
66
2
0
19 Mar 2023

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