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Found 3 papers, 1 papers with code
Preventing Discriminatory Decision-making in Evolving Data Streams
However, most fair machine learning (fair-ML) work to address bias in decision-making systems has focused solely on the offline setting.
A Survey on Bias and Fairness in Machine Learning
With the commercialization of these systems, researchers are becoming aware of the biases that these applications can contain and have attempted to address them.
How Do Fairness Definitions Fare? Examining Public Attitudes Towards Algorithmic Definitions of Fairness
What is the best way to define algorithmic fairness?
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