Editorial: From Explainable Artificial Intelligence (xAI) to Understandable Artificial Intelligence (uAI)
Hussein A. Abbass, Keeley A. Crockett, Jonathan M. Garibaldi, ALEXANDER E. GEGOV, Uzay Kaymak, João M. C. Sousa · IEEE Transactions on Artificial Intelligence · 2024
In this editorial, we argue that the artificial intelligence (AI) community needs to escape the trap of explainable artificial intelligence (xAI) by growing more research on understandable artificial intelligence (uAI). We provocatively term xAI a trap because it has caused some AI researchers to see it as the “end” rather than a “means.” We will discuss why uAI is a better way forward and present a framework for uAI to define research directions that go beyond xAI. Let us first share where this concept emerged before introducing it.