Paired-consistency: An example-based model-agnostic approach to fairness regularization in machine learning

Y Horesh, N Haas, E Mishraky, YS Resheff… - Machine Learning and …, 2020 - Springer
As AI systems develop in complexity it is becoming increasingly hard to ensure non-
discrimination on the basis of protected attributes such as gender, age, and race. Many …
被引用次数：8 相关文章

Paired-Consistency: An Example-Based Model-Agnostic Approach to Fairness Regularization in Machine Learning

Y Horesh, N Haas, E Mishraky, YS Resheff… - arXiv e …, 2019 - ui.adsabs.harvard.edu
As AI systems develop in complexity it is becoming increasingly hard to ensure non-
discrimination on the basis of protected attributes such as gender, age, and race. Many …

Paired-Consistency: An Example-Based Model-Agnostic Approach to Fairness Regularization in Machine Learning

Y Horesh, N Haas, E Mishraky, YS Resheff… - arXiv preprint arXiv …, 2019 - arxiv.org
As AI systems develop in complexity it is becoming increasingly hard to ensure non-
discrimination on the basis of protected attributes such as gender, age, and race. Many …