Watson is pretty clearly narrow AI, in the sense that if you called it General AI, you’d be wrong. There are simple cognitive tasks (like making a plan to solve a novel problem, modelling a new system, or even just playing Parcheesi) that it just can’t do, at least, not without a human writing a bunch of new code to add a module that that does that new thing. It’s not powerful in the way that a true GAI would be.
That said, Watson is a good deal less narrow than, say, for example, Deep Blue. Watson has a great deal of analytic depth in a reasonably broad domain (structured knowledge extraction from unformatted English) , which is a major leap forward. You might say that Watson is a rough analog to a language center connected to a memory system sitting in a box. It’s not a GAI by itself, but it could be a substantial component of one down the line.
Watson is pretty clearly narrow AI, in the sense that if you called it General AI, you’d be wrong. There are simple cognitive tasks (like making a plan to solve a novel problem, modelling a new system, or even just playing Parcheesi) that it just can’t do, at least, not without a human writing a bunch of new code to add a module that that does that new thing. It’s not powerful in the way that a true GAI would be.
That said, Watson is a good deal less narrow than, say, for example, Deep Blue. Watson has a great deal of analytic depth in a reasonably broad domain (structured knowledge extraction from unformatted English) , which is a major leap forward. You might say that Watson is a rough analog to a language center connected to a memory system sitting in a box. It’s not a GAI by itself, but it could be a substantial component of one down the line.