All three AI experts agreed that ethical considerations must be at the forefront of research. "One thing I'm seeing among my own faculty is the realization that we, technologists, computer scientists, engineers who are building AI, have to appeal to someone else to create these programs," said Moore. When coming up with a driverless car, for example, how does the car decide what to do when an animal comes into the road? When you write the code, he said, there's the question: how much is an animal's life worth next to a human's life? "Is one human life worth the lives of a billion domestic cats? A million? A thousand? I would hate to be the person writing that code."
So the Yankees searched for answers about how this might be taking place, and on the evening of Aug. 18, the Yankees’ staff discovered in video review what it determined to be incontrovertible evidence -- as first detailed in the New York Times on Tuesday afternoon. An assistant trainer received a message on his watch; the trainer informed a Red Sox player in the dugout; the player relayed that information to the runner at second base, indicating which pitch signal in the sequence of signs was real; the runner at second, instantly armed with the key to breaking the Yankees’ signal-calling code, could detail the identity of the forthcoming pitch for the hitter at the plate.