Black Box Algorithms

Black box algorithms are processes or systems where the internal workings are not visible or understandable to users. You input data, the algorithm processes it, and you get an output, but you don’t see or know exactly how the decision was made. Imagine a complex machine: you press a button, and it produces a result, but the inner gears and wiring remain hidden. These algorithms are common in areas like facial recognition or credit scoring, where the focus is on accurate outcomes, but their decision-making processes can be difficult to interpret or explain.