Group Retention when Using Machine Learning in Sequential Decision Making: the Interplay between User Dynamics and Fairness

Machine learning models developed from real-world data can inherit pre-existing bias in the dataset. When these models are used to inform decisions involving humans, it may exhibit similar discrimination against sensitive attributes (e.g., gender and race) [