For what it's worth, I consider Bayesian learning systems and expert learning systems to be "narrow" AI -- hence the example I gave of Watson.
I think Ben Goertzel's Novamente project is the closest extant project to a 'general' AI of any form that I've heard of.
I can see that for expert systems, but Bayesian learning systems seem to be a distinct category. The primary limits seem to be scalibility not architecture.
From Geoff Anders of Leverage Research:
Not a surprising result, perhaps, but the details of how Geoff taught AGI danger and the reactions of his students are quite interesting.