Indeed, its embrace of the primacy of data over human judgment, in everything from its search algorithm to its attempts to turn hiring into a science, gives some people the creeps. Listen to a talk that Page, Google's co-founder and president of products, gave in 2002 at Stanford. He said Google aims to turn the technology behind its search engine into a true artificial intelligence that could "answer any question, which means you can do basically anything." The audience laughed tentatively, perhaps thinking of the ai in the movie The Terminator that tries to wipe out humanity. If Google succeeds in its mission, Page added with a grin, "then we're doing everything."
This is really interesting; No, it's not what you're thinking- it's not a yes-no tree. It's pretty resiliant; It's also interesting to read off what it has to say at the end: it has an interesting summary describing what it's thinking about what you said.
Trying to get a computer to work out what words mean - distinguish between "rider" and "horse" say, and work out how they relate to each other - is a long-standing problem in artificial intelligence research.
In fact, this method is so general that it requires no background knowledge about any particular classification. There are no domain-specific parameters to set and only a handful of general settings. Just feed and run.