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AI Learning to Recognize Chairs
David Otter: We know more than we can tell, this is what I refer to as Polanyi's paradox. But when it comes to AI, we end up in the converse situation that I call Polanyi’s revenge,. And so neither are we good at codifying, task and information, nor is AI good at explaining what it has learned tacitly. This makes it very challenging to predict, even though AI is following the rules of physics and quantum mechanics and so on. It's from our perspective, it's in some sense stochastic. How do we develop confidence in it? And how do we know why it decided what it decided or said what