Arun Pandiyan

“so many people were shocked and upset when, in 1997, IBM’s Deep Blue chess-playing system defeated the world chess champion Garry Kasparov. This event so stunned Kasparov that he accused the IBM team of cheating; he assumed that for the machine to play so well, it must have received help from human experts.2 (In a nice bit of irony, during the 2006 World Chess Championship matches the tables were turned, with one player accusing the other of cheating by receiving help from a computer chess program.3) Our collective human angst over Deep Blue quickly receded. We accepted that chess could yield to brute-force machinery; playing chess well, we allowed, didn’t require general intelligence after all. This seems to be a common response when computers surpass humans on a particular task; we conclude that the task doesn’t actually require intelligence. As John McCarthy lamented, ‘As soon as it works, no one calls it AI any more.’4”
― Melanie Mitchell, Artificial Intelligence: A Guide for Thinking Humans