Forget Explainable AI! What We Need Now is Understandable AI

As artificial intelligence technologies have gained popularity, creators and users have used and modified a variety of terms and phrases to describe and characterize their work. One may probably have heard terms like "narrow AI", "deep learning", "neural networks", and other new descriptors being used to distinguish between distinct types and roles of AI, different sections of AI solutions, and so on. Another result of the rapid expansion of AI's availability and use has been the demand for "explainable AI," or approaches and procedures that make Artificial Intelligence more accessible to all types of humans. And, while explainable AI is important, it's not really the answer always. The ambition to understand how computers make decisions is admirable, but XAI technologies or approaches will never be sufficient.