“The “Black Box” problem in AI is in which an AI system makes decisions however, humans don’t fully comprehend what it was that led to or how it reached an result.

A number of the most recent AI models, particularly those that are deep learning models are so complicated that even programmers who created them can’t describe the process of decision-making in full detail.

📌 Example: Imagine an AI is utilized to reject or approve loans. One person is applying for a loan, but the AI refuses the application. However, nobody knows the reason–was the reason due to their credit scores, work background, or a hidden pattern? This insanity will be part of the Black Box problem.