Black box models

Black box models refer to systems, typically in artificial intelligence or machine learning, where the internal workings are not visible or understandable to the user. While these models can take input data and produce accurate predictions or classifications, the process they use to arrive at these results remains opaque. This lack of transparency can be a concern in fields like healthcare or finance, where understanding decision-making is crucial. Essentially, you can see what goes in and what comes out, but the complex processes in between remain hidden, making it difficult to interpret or trust the model's decisions fully.