Sophia Hadash

Improving understandability of feature contributions in model-agnostic explainable AI tools

Model-agnostic explainable AI tools explain their predictions by means of ’local’ feature contributions. We empirically investigate two potential improvements over current approaches. The first one is to always present feature contributions in terms of the contribution to the outcome that is perceived as positive by t…