In fact, "expert systems" were built around this principle, though generally more in the industrial context.
I don't think that the way knowledge transfer is structured for humans is by default distinct from how we would do it for AI in the long term, but that's a pretty wide range of pedagogy so some tasks make more sense than others for the state of the art today.
In fact the way we train ANN/CNN is similar to how infants & toddlers do early classification. Frank Guerin at the university of Aberdeen has done some study in this area that is in it's early stages.
As far as I know there have not been efforts to set up schools to train AI's from the general population.
The closest thing to it are the efforts by Google and Facebook to train their classifiers (facial recognition, text detection etc...). We are working on an internal process that uses user input to classify objects in the home (furnishings mostly) for auto segmentation and detection.
I don't think that the way knowledge transfer is structured for humans is by default distinct from how we would do it for AI in the long term, but that's a pretty wide range of pedagogy so some tasks make more sense than others for the state of the art today.
In fact the way we train ANN/CNN is similar to how infants & toddlers do early classification. Frank Guerin at the university of Aberdeen has done some study in this area that is in it's early stages.
As far as I know there have not been efforts to set up schools to train AI's from the general population.
The closest thing to it are the efforts by Google and Facebook to train their classifiers (facial recognition, text detection etc...). We are working on an internal process that uses user input to classify objects in the home (furnishings mostly) for auto segmentation and detection.