When developing explanations for the output of an AI model, it is importremember that explanations mustAcceptable responses: Interpretability, Interpretable

Incorrect

An AI model is interpretable when the

reasoning behind predictions and

recommendations the model makes are

understandable. An example of

interpretability would be

understanding that pressing the

accelerator makes a car go faster, but

not necessarily knowing how an engine

works. $\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_$ depending on the user persona.?