Data Bias Management
Author:
Affiliation:
1. The University of Queensland, Australia
2. the University of Udine, Italy
3. University of Udine, Italy
Abstract
Funder
Australian Research Council
Publisher
Association for Computing Machinery (ACM)
Subject
General Computer Science
Link
https://dl.acm.org/doi/pdf/10.1145/3611641
Reference24 articles.
1. A unifying and general account of fairness measurement in recommender systems
2. Bias on the web
3. Man is to computer programmer as woman is to homemaker? Debiasing word embeddings;Bolukbasi T.;Advances in Neural Information Processing Systems,2016
4. Socio-Economic Diversity in Human Annotations
5. Fong , H. et al. Fairness for auc via feature augmentation. arXiv preprint arXiv:2111.12823 ( 2021 ). Fong, H. et al. Fairness for auc via feature augmentation. arXiv preprint arXiv:2111.12823 (2021).
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1. Balanced Explanations in Recommender Systems;Adjunct Proceedings of the 32nd ACM Conference on User Modeling, Adaptation and Personalization;2024-06-27
2. Policy advice and best practices on bias and fairness in AI;Ethics and Information Technology;2024-04-29
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