The number one priority for business leaders is to ask the right questions, which are often the big questions. Take the Voltaire quote, “You don’t judge people by the answers they give, you judge people by the questions they ask.” Business leaders should be asking things like, “Will I get more productivity if I hire higher-skilled workers in this plant or in this office, or would I get better results by cutting costs?” The problem is that most organizations base the questions they ask on the data they have in front of them. Because of that, the questions tend to get smaller and smaller—not bigger, as they should be.
What needs to happen, in a world that’s moving intoexplainable AI, is if you ask a question and your software can’t find the answer, its response should be, “We’d love to solve the problem, but here are the things that are missing. Can you help me find the right data?” That’s much more useful than, “Unavailable,beep-boop-beep.” Explainable AI means that the computer will be able to tell you how it arrived, or didn’t arrive, at a certain decision so that you can weigh AI input as you would from a human source.