Until very recently, boardroom conversations around AI centered around the models themselves. Is their output accurate? How clean was the training data? How can we reduce bias? Are hallucinations under control? Those questions still matter, of course, but output is no longer the only thing boards and shareholders are paying attention to. Instead, they’re becoming interested in something that’s much harder to measure – whether AI systems are actually working with people as effectively as they…