There isn't really a "LW approach to AI," but there are some factors at work here. If there's one universal LW buzzword, it's "Bayesian methods," though that's not an AI design, one might call it a conceptual stance. There's also LW's focus on decision theory, which, while still not an AI design, is usually expressed as short, "model-dependent" algorithms. It would also be nice for a self-improving AI to have a human-understandable method of value learning, which leads to more focus diverted away from black-box methods.

As to whether there's some tribal conflict to be worried about here, nah, probably not.