No, I'm not making a dig about the Republican Party. Wired has a story this month about the quiet increase in AI happening all around us:
Today's AI bears little resemblance to its initial conception. The field’s trailblazers in the 1950s and '60s believed success lay in mimicking the logic-based reasoning that human brains were thought to use. In 1957, the AI crowd confidently predicted that machines would soon be able to replicate all kinds of human mental achievements. But that turned out to be wildly unachievable, in part because we still don’t really understand how the brain works, much less how to re-create it.
So during the '80s, graduate students began to focus on the kinds of skills for which computers were well-suited and found they could build something like intelligence from groups of systems that operated according to their own kind of reasoning. "The big surprise is that intelligence isn't a unitary thing," says Danny Hillis, who cofounded Thinking Machines, a company that made massively parallel supercomputers. "What we've learned is that it's all kinds of different behaviors."
We're a long way from ELIZA, except in the field of software project management. (Little joke there.)