Black Box AI

Black Box AI refers to an Artificial Intelligence system whose internal workings or decision-making processes are not easily understood or interpreted.In AI, the term "Black Box AI" is used to describe complex models, like deep learning algorithms, where it's hard for humans to understand exactly how the AI makes its decisions. These models take in inputs, process them through multiple layers of computations, and output a decision or prediction, but the steps in between can be hard to follow. This can pose a challenge, especially in areas where understanding the reasoning behind a decision is important, such as in healthcare or the legal field. Because of this, there's a growing interest in the field of AI to develop methods to interpret these black box models, a field often referred to as "Explainable AI."

In summary, "Black Box AI" represents AI systems whose internal decision-making mechanisms are complex and difficult to understand, posing challenges for transparency and explainability.