Before revision:  The same law applies to the analysis of Machine Learning (ML) models. One method to explain the model is not enough because different questions and different stakeholders need different approaches. Most of the proposed methods for eXplainable Artificial Intelligence (XAI) focus on a single aspect of model behaviour. However, we cannot sufficiently explain a complex model using a single method that gives only one perspective.
After revision:  The same law applies to the explanatory analysis of machine learning models. We cannot sufficiently explain a complex model using a single method that gives only one perspective.