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Stashed ideas

181 STASHED IDEAS

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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 β€” Whom to explain? Why explain? When to explain? How to explain? What is the explanation?

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Why inversion is important ??

Inversion is a powerful thinking tool because it puts a spotlight on errors and roadblocks that are not obvious at first glance.

  • What if the opposite was true?
  • What if I focused on a different side of this situation?

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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  1. Changing your outcomes. This means changing your results: losing weight, publishing a book, etc.
  2. Changing your process. This means changing your habits and systems: for example, developing a meditation practice.
  3. Changing your identity. This means changing your beliefs: the way you see yourself and the ones around you.

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