Shapley Values are a way to explain the contribution of each feature value to the final prediction.

It has a very solid base in coalitional game theory and fair distribution of payouts. It is a model-agnostic way to interpret the predictions of a black-box model. Though since it is very compute intensive, most of the times, it is approximated via sampling techniques.