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Explainability can be viewed as an active characteristic of a model, denoting any action or procedure taken by a model with the intent of clarifying or detailing its internal functions, given a certain audience, explainability refers to the details and reasons a model gives to make its functioning clear or easy to understand. explainability is associated with the notion of explanation as an interface between humans and a decision maker that is, at the same time, both an accurate proxy of the decision maker and comprehensible to humans explainability is defined as the ability a model has to make its functioning clearer to an audience

Explainability is associated with the notion of explanation as an interface between humans and a decision maker that is, at the same time, both an accurate proxy of the decision maker and comprehensible to humans.

Explainability is defined as the ability a model has to make its functioning clearer to an audience.

Explainability is related with the notion of explanation as an interface between humans and an AI system. It comprises AI systems that are accurate and comprehensible to humans

Explainability refers to the active nature of an AI model that expresses any ability or any procedure that the model takes in order to clarify or reveal its internal functions

provides insight into the DNN’s decision to the end-user in order to build trust that the AI is making correct and non-biased decisions based on facts

Explainability provides insights to a targeted audience to fulfill a need.