Ensuring label fairness and bias reduction in data labeling
Data labeling is a critical process in machine learning, where humans annotate data to create a training set for algorithms. However, the accuracy and fairness of data labeling can directly impact the performance and ethical considerations of machine learning models. In recent years, there has been a growing concern about