I suggest some actual experience trying to program AI algorithms in order to realize the hows and whys of “getting an algorithm which forms the inductive category I want out of the examples I’m giving is hard”
I think it depends on context, but a lot of existing machine learning algorithms actually do generalize pretty well. I’ve seen demos of Watson in healthcare where it managed to generalize very well just given scrapes of patient’s records, and it has improved even further with a little guided feedback. I’ve also had pretty good luck using a variant of Boltzmann machines to construct human-sounding paragraphs.
It would surprise me if a general AI weren’t capable of parsing the sentiment/intent behind human speech fairly well, given how well the much “dumber” algorithms work.
I think it depends on context, but a lot of existing machine learning algorithms actually do generalize pretty well. I’ve seen demos of Watson in healthcare where it managed to generalize very well just given scrapes of patient’s records, and it has improved even further with a little guided feedback. I’ve also had pretty good luck using a variant of Boltzmann machines to construct human-sounding paragraphs.
It would surprise me if a general AI weren’t capable of parsing the sentiment/intent behind human speech fairly well, given how well the much “dumber” algorithms work.