Been Kim Is Building a Translator for Artificial Intelligence | Quanta Magazine
We know from repeated studies in cognitive science and psychology that humans are very gullible. What that means is that it’s actually pretty easy to fool a person into trusting something. The goal of interpretability for machine learning is the opposite of this. It is to tell you if a system is not safe to use. It’s about revealing the truth. So “trust” isn’t the right word.