论文名:Fairness in Machine Learning: A Survey 作者:Simon Caton, Christian Haas 发布时间:2024-04-09 引用次数:670 (截止到2024年10月29) 刊物: ACM Computing Surveys, Volume 56, Issue 7 Article No.: 166, Pages 1 - 38 影响因子:9 原文:dl.acm.org/doi/10.1145/ ...
Research on fairness in machine learning (ML) has been largely focusing on individual and group fairness. With the adoption of ML-based technologies as ass
ACM Conference on Human Factors in Computing SystemsK. Holstein, J. W. Vaughan, H. D. III, M. Dudk, and H. Wallach. Improving fairness in machine learning systems: What do industry practitioners need? 2019 ACM CHI Conference on Human Factors in Computing Systems (CHI 2019), 2019....
A Maximal Correlation Approach to Imposing Fairness in Machine Learning[阅读笔记] 实名用户 数学、统计学在读。兴趣方向社会学,心理学8 人赞同了该文章 这篇文章来自于MIT EECS Dept的文章,发表在Entropy上[1]。 A Maximal Correlation Framework for Fair Machine Learningwww.mdpi.com/1099-4300/24/4/...
Machine learning based systems are reaching society at large and in many aspects of everyday life. This phenomenon has been accompanied by concerns about the ethical issues that may arise from the adoption of these technologies. ML fairness is a recently established area of machine learning that ...
近几年,机器学习的公平性广泛地引起科研与开发人员的关注。简单而言,由于不同的社会环境,导致同样的算法,预测结果可能出现较大差异。Stijn 提出的对抗网络(adversarial network)也许可以作为辅助,提高预测的公平性,减少偏差。 对抗网络原理 https://papers.nips.cc/paper/6699-learning-to-pivot-with-adversarial-network...
Machine learning based systems are reaching society at large and in many aspects of everyday life. This phenomenon has been accompanied by concerns about the ethical issues that may arise from the adoption of these technologies. ML fairness is a recently established area of machine learning that ...
yikailu/Fairness-in-Machine-Learningmain BranchesTags Code Folders and files Latest commit History2 Commits .gitattributes Broward_Data.zip Compas_NN.py Compas_Naive_Bayes.py Compas_SVM.py Machine_Learning_Fairness_Primer.pdf Postprocessing.py Preprocessing.py Report_Results.py assignment...
Recent years have seen the rapid development of fairness-aware machine learning in mitigating unfairness or discrimination in decision-making in a wide ran
Interact with Azure Machine Learning Work with data Automated Machine Learning Train a model Work with foundation models Use Generative AI Responsibly develop & monitor Responsible AI overview What is Responsible AI? Model interpretability Fairness in Machine Learning ...