Most of the advances in artificial intelligence have been focused on solving specific data-intensive tasks like playing chess or diagnosing tumors. However, the kind of general artificial intelligence that would create systems with human capabilities like understanding language and adapting to changing conditions are still a long way off. John Laird, professor of electrical engineering and computer science, says the strategies that help prepare an AI system to play chess or Go are less helpful in the real world, which does not operate within the strict rules of a game. “You’ve got Deep Blue that can play chess really well, you’ve got AlphaGo that can play Go, but you can’t walk up to either of them and say, ok we’re going to play tic-tac-toe,” Laird says. “There are these kinds of learning that are not you’re not able to do just with narrow AI.”
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