A Case Study of Integrating Fairness Visualization Tools in Machine Learning Education-Reference-Cited by-同舟云学术

A Case Study of Integrating Fairness Visualization Tools in Machine Learning Education

Published:2022-04-27 Issue: Volume: Page:
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Container-title:CHI Conference on Human Factors in Computing Systems Extended Abstracts
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Author:

Mashhadi Afra¹,Zolyomi Annuska¹,Quedado Jay¹

Affiliation:

1. Computing and Software Systems, University of Washington, United States

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3491101.3503568

Reference43 articles.

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3. [ 3 ] 2021. https://github.com/propublica/compas-analysis/ [3] 2021. https://github.com/propublica/compas-analysis/

4. 2021. Coded Bias. 2021. Coded Bias.

5. Alekh Agarwal , Alina Beygelzimer , Miroslav Dudík , John Langford , and Hanna Wallach . 2018 . A reductions approach to fair classification . In International Conference on Machine Learning. PMLR, 60–69 . Alekh Agarwal, Alina Beygelzimer, Miroslav Dudík, John Langford, and Hanna Wallach. 2018. A reductions approach to fair classification. In International Conference on Machine Learning. PMLR, 60–69.

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