A black box refers to a system where it's extremely difficult to delve into its internal mechanisms to understand how it operates. Neural networks are frequently characterized as black boxes. This is because when they make a specific prediction, it can be quite challenging to provide a clear explanation for the underlying reasons. At present, model explainability has become a highly debated and actively studied area in the field of artificial intelligence.
