Fairness Without Harm: An Influence-Guided Active Sampling Approach

Jinlong Pang, Jialu Wang, Zhaowei Zhu +3

The pursuit of fairness in machine learning (ML), ensuring that the models do not exhibit biases toward protected demographic groups, typically results in a compromise scenario. Th…