Nuanced Metrics for Measuring Unintended Bias with Real Data for Text Classification-Reference-Cited by-同舟云学术

Nuanced Metrics for Measuring Unintended Bias with Real Data for Text Classification

Published:2019-05-13 Issue: Volume: Page:
ISSN:
Container-title:Companion Proceedings of The 2019 World Wide Web Conference
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Author:

Borkan Daniel¹,Dixon Lucas¹,Sorensen Jeffrey¹,Thain Nithum¹,Vasserman Lucy¹

Affiliation:

1. Google

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3308560.3317593

Reference19 articles.

1. Alex Beutel Jilin Chen Zhe Zhao and Ed H. Chi. 2017. Data Decisions and Theoretical Implications when Adversarially Learning Fair Representations. CoRR abs/1707.00075(2017). http://arxiv.org/abs/1707.00075 Alex Beutel Jilin Chen Zhe Zhao and Ed H. Chi. 2017. Data Decisions and Theoretical Implications when Adversarially Learning Fair Representations. CoRR abs/1707.00075(2017). http://arxiv.org/abs/1707.00075

2. Evaluating the Predictive Validity of the Compas Risk and Needs Assessment System

3. Measuring and Mitigating Unintended Bias in Text Classification

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