[D] Improved Shapley values with causal models

I have published a personal blog post on the limits of standard SHAP with non-interventional and mediated variables. I show how new methods like asymmetric Shapley improve the results.

https://mkffl.github.io/2023/04/20/causal-shapley.html

There’s a lot of good work on improving traditional SHAP but I have not seen it permeate the industry yet/seems confined to academia.
I tried to emphasise intuitions about SHAP’s limits and the new approach, while keeping some rigour. Any feedback appreciated!

academia blog good industry machinelearning shap show standard values variables work