181 STASHED IDEAS
Interpretability and explainability are closely related topics . Interpretability is at the model level with an objective of understanding the decisions or predictions of the overall model. Explainability is at an individual instance of the model with the objective of understanding why the specific decision or prediction was made by the model. When it comes to explainable AI we need to consider five key questions — Whom to explain? Why explain? When to explain? How to explain? What is the explanation?
Inversion is a powerful thinking tool because it puts a spotlight on errors and roadblocks that are not obvious at first glance.
Great thinkers and innovators also use this technique to consider the both forward and backward sides of things . This way of thinking can reveal compelling opportunities for innovation.
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