Is that really an overwhelming advantage? On the one hand, "data" definitely helped Google build solid speech recognition, on the other, Google has shown us time and time again that big data isn't an advantage in creating graphical user interfaces. My sense is that the problems in an AI interface involve just as much design and interface expertise as they do data expertise.
"""Google has shown us time and time again that big data isn't an advantage in creating graphical user interfaces. My sense is that the problems in an AI interface involve just as much design and interface expertise as they do data expertise""".
(and I don't mean to compare it to the data mining problem, because you just can't)
Also, for some profession or other, we're all laypeople, and make equally bad or even graver mistakes. But we don't care that much about those. A computer geek feels superior to other people for knowing that Xerox invented the modern GUI, but he doesn't feel stupid to believe any number of BS about medicine, economics, literature, etc.
By using a vast amount of data. Words, phrases, accents... it all involves crunching a lot of data. That's why Siri isn't actually intelligent- if you ask it a question it hasn't been programmed to answer it doesn't work out what you're asking for- it just tells you that it doesn't understand.
I am also certain people will scream that Apple "invented" this despite the decades of public and private research on the problem and the fact that IBM's Watson (far more impressive than Siri) was released and won Jeopardy before Siri was even launched.