How to Use Machine Learning Tools to Improve Transparency

You can see a wide difference between the explanations that some tool presents, whether it's commercial or open source. You should be using explainable models and postdoc explanation, not postdoc explanation on unexplainable models. If people are using SHAP and LIME and these things on a model that's not explainable, then they should not necessarily be trusting the results.