Researchers find the explanation methods designed to help users determine whether to trust a machine-learning model’s predictions can perpetuate biases and lead to less accurate predictions for people from disadvantaged groups.
Click here for original story, Machine learning models: In bias we trust?
Source: ScienceDaily