Black Box Problem

The Black Box Problem refers to situations where the internal decision-making process of a complex system, such as an advanced algorithm or AI, is not easily understandable or transparent. While these systems may produce accurate results, understanding how they arrive at those conclusions can be difficult or impossible. This lack of insight raises concerns about trust, fairness, and accountability, especially when decisions impact people's lives. Essentially, it’s like using a device whose inner workings are hidden, making it challenging to evaluate its reasoning or verify its correctness.