interpretablen
Interpretable, in the context of artificial intelligence and machine learning, refers to the degree to which the workings of an AI model can be understood by humans. A model is considered interpretable if its decision-making process is transparent and can be easily explained. This means that for any given input, a human can comprehend why the model produced a particular output.
The opposite of interpretable is often described as a "black box" model. These models, while potentially highly
Different levels of interpretability exist. Some models are inherently interpretable, such as simple linear regression or