As soon as A.I. is used for serious applications like self driving cars, then data have to be audited by humans. Human judgment is irreplaceable. These machines are statistical algorithms anyway, so even with the best data possible, they will err occasionally. So we combine two or three of them and average the result given some score, for even better accuracy.
But data is the foundation of everything in their function. The transformation of data -> information is always done by humans. Given better and better statistical algorithms, that gap will become smaller and smaller, but automation will never be able to produce information by itself.
Other serious applications include medicine and doctors. How about building houses out of epoxy and graphene walls, weighing 10 kg every house and stacking 10000 houses on top of one another? I.e. skyscrapers the size of Everest? Don't we need some serious data and A.I. architecture for the construction to stand tall?
But data is the foundation of everything in their function. The transformation of data -> information is always done by humans. Given better and better statistical algorithms, that gap will become smaller and smaller, but automation will never be able to produce information by itself.
Other serious applications include medicine and doctors. How about building houses out of epoxy and graphene walls, weighing 10 kg every house and stacking 10000 houses on top of one another? I.e. skyscrapers the size of Everest? Don't we need some serious data and A.I. architecture for the construction to stand tall?