Didn't know about Google. They might be working on something but I don't know of any production use of their A.I. software.
[1]:http://www.quora.com/Why-is-machine-learning-used-heavily-fo...
I think the same logic applies to other technologies: products generally have to pass the standard safety tests/level common in their industry, not be perfect.
Will this too happen in AI ? maybe , but maybe due to political pressure , the standards require from AI will be much higher.
But you're right in the general sense: there are other areas where we leave the interpretation of the AI (as it were) to experts and have no say in it ourselves. Road bridges would be the simplest example I can think of (given that the safety simulations are akin to a simple form of AI).
I think at some point the former became dominant, because its more achieveable, but its also the one that gets most interesting when it fails. Because of the way this AI learns, when its wrong it can be brutally wrong.
I think there will be a revolution in AI getting into more spaces, but only in areas where its ok to screw up (ie ultimately a human is filtering the AI response at some degree, whether its the user knowing when to ignore the GPS or Siri, or an overseer looking over the AI output and checking it before it goes out). I'd be really surprised to see AI doing anything important by itself.
Also, I thought Google already had a fairly solid AI research effort well underway.