What is Explainable AI?

Some key differences help separate "regular" AI from explainable AI, but most importantly, XAI implements specific techniques and methods that help ensure each decision in the ML process is traceable and explainable. In comparison, regular AI usually arrives at its result using an ML algorithm, but it is impossible to fully understand how the algorithm arrived at the result. In the case of regular AI, it is extremely difficult to check for accuracy, resulting in a loss of control, accountability, and auditability.