Putting Fairness Principles into Practice-Reference-Cited by-同舟云学术

Putting Fairness Principles into Practice

Published:2019-01-27 Issue: Volume: Page:
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Container-title:Proceedings of the 2019 AAAI/ACM Conference on AI, Ethics, and Society
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Author:

Beutel Alex¹,Chen Jilin²,Doshi Tulsee²,Qian Hai²,Woodruff Allison²,Luu Christine²,Kreitmann Pierre³,Bischof Jonathan⁴,Chi Ed H.²

Affiliation:

1. Google, New York, NY, USA

2. Google, Mountain View, CA, USA

3. Google, San Bruno, CA, USA

4. Google, Seattle, WA, USA

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3306618.3314234

Reference38 articles.

1. Alekh Agarwal Alina Beygelzimer Miroslav Dud'ik John Langford and Hanna M. Wallach. 2018. A Reductions Approach to Fair Classification. CoRR Vol. abs/1803.02453 (2018). arxiv: 1803.02453 http://arxiv.org/abs/1803.02453 Alekh Agarwal Alina Beygelzimer Miroslav Dud'ik John Langford and Hanna M. Wallach. 2018. A Reductions Approach to Fair Classification. CoRR Vol. abs/1803.02453 (2018). arxiv: 1803.02453 http://arxiv.org/abs/1803.02453

2. Hana Ajakan Pascal Germain Hugo Larochelle Francc ois Laviolette and Mario Marchand. 2014. Domain-Adversarial Neural Networks. CoRR Vol. abs/1412.4446 (2014). arxiv: 1412.4446 http://arxiv.org/abs/1412.4446 Hana Ajakan Pascal Germain Hugo Larochelle Francc ois Laviolette and Mario Marchand. 2014. Domain-Adversarial Neural Networks. CoRR Vol. abs/1412.4446 (2014). arxiv: 1412.4446 http://arxiv.org/abs/1412.4446

3. Y Bechavod and K Ligett. 2017. Penalizing unfairness in binary classification. arXiv preprint arXiv:1707.00044 (2017). Y Bechavod and K Ligett. 2017. Penalizing unfairness in binary classification. arXiv preprint arXiv:1707.00044 (2017).

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

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