Explainability is the extent where the feature values of an instance are related to its model prediction in such a way that humans understand. In basic term, it is the understanding to the question “why is this happening?”.

Is there such a word as Explainability?

The state of being explainable.

What is Explainability problem?

Explainable AI (XAI) is often offered as the answer to the black box problem and is broadly defined as “machine learning techniques that make it possible for human users to understand, appropriately trust, and effectively manage AI.” Around the world, explainability has been referenced as a guiding principle for AI ...