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Focus and Bias: Will It Blend?
Frontiers in Artificial Intelligence and Applications
One direct application of explainable AI feature attribution methods is to be used for detecting unwanted biases. To do so, domain experts typically have to review explained inputs, checking for the presence of unwanted biases learnt by the model. However, the huge amount of samples the domain experts must review makes this task more challenging as the size of the dataset grows. In an ideal case, domain experts should be provided only with a small number of selected samples containing potentialdoi:10.3233/faia220355 fatcat:l2ycygmafre4ngi3pehmsaemau