Counterfactual Fairness in Text Classification through Robustness-Reference-Cited by-同舟云学术

Counterfactual Fairness in Text Classification through Robustness

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

Author:

Garg Sahaj¹,Perot Vincent²,Limtiaco Nicole²,Taly Ankur³,Chi Ed H.³,Beutel Alex²

Affiliation:

1. Stanford University, Stanford, CA, USA

2. Google AI, New York, NY, USA

3. Google AI, Mountain View, CA, USA

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3306618.3317950

Reference24 articles.

1. Alex Beutel Jilin Chen Zhe Zhao and Ed H. Chi. 2017. 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. 2017. 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

2. Silvia Chiappa and Thomas P. S. Gillam. 2018. Path-Specific Counterfactual Fairness. arXiv e-prints Article arXiv:1802.08139 (Feb. 2018) arXiv:1802.08139 pages. arxiv: stat.ML/1802.08139 Silvia Chiappa and Thomas P. S. Gillam. 2018. Path-Specific Counterfactual Fairness. arXiv e-prints Article arXiv:1802.08139 (Feb. 2018) arXiv:1802.08139 pages. arxiv: stat.ML/1802.08139

3. Lucas Dixon John Li Jeffrey Sorensen Nithum Thain and Lucy Vasserman. 2018. Measuring and Mitigating Unintended Bias in Text Classification. Lucas Dixon John Li Jeffrey Sorensen Nithum Thain and Lucy Vasserman. 2018. Measuring and Mitigating Unintended Bias in Text Classification.

4. Cynthia Dwork Moritz Hardt Toniann Pitassi Omer Reingold and Richard S. Zemel. 2011. Fairness Through Awareness. CoRR Vol. abs/1104.3913 (2011). arxiv: 1104.3913 http://arxiv.org/abs/1104.3913 Cynthia Dwork Moritz Hardt Toniann Pitassi Omer Reingold and Richard S. Zemel. 2011. Fairness Through Awareness. CoRR Vol. abs/1104.3913 (2011). arxiv: 1104.3913 http://arxiv.org/abs/1104.3913

Cited by 77 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. AutoRIC: Automated Neural Network Repairing Based on Constrained Optimization;ACM Transactions on Software Engineering and Methodology;2024-09-04

2. Indian-BhED: A Dataset for Measuring India-Centric Biases in Large Language Models;Proceedings of the 2024 International Conference on Information Technology for Social Good;2024-09-04

3. Towards trustworthy LLMs: a review on debiasing and dehallucinating in large language models;Artificial Intelligence Review;2024-08-10

4. Addressing bias in bagging and boosting regression models;Scientific Reports;2024-08-08

5. Prompts and Large Language Models: A New Tool for Drafting, Reviewing and Interpreting Contracts?;Law, Technology and Humans;2024-07-30