Model interpretability refers to the extent to which a human can understand the cause of a decision made by an AI model. In simple terms, it’s about opening the "black box" of AI to see how and ...

will have different meanings, so an out-of-the-box model may not be able to pick up on these nuances. For example, the word “premium” can mean the top end of a product range, or it can mean ...