A Black Box Model is a system or process whose internal logic, algorithms, or mechanisms are hidden from users and observers. While inputs and outputs can be seen and measured, the way the system processes information remains opaque. This lack of transparency can make it difficult to understand how decisions are made or to identify potential biases or errors. Black Box Models are common in areas like artificial intelligence, machine learning, and cybersecurity, where complex algorithms are used but their inner workings are not disclosed or are too intricate to interpret easily.