No algorithm can create more information than is put into it, yet the hallmark of human intelligence is the ability to create new information. The two are inherently different beasts.
What's an example of this "new information" human intelligence creates?
It seems like from a limited number of examples of A implying B, humans can infer that A always implies B, and can from there figure out A' implies C which is more favorable.
Basically, humans are much better at stereotyping / categorizing objects than machines currently are. But that could change (and is changing).
Watson, for instance, seems pretty good at making inferences.
My first thought is that humans can draw conclusions from information given to them, but that sounds more like deriving information from other information.