As a Computer Science major with an Electrical Engineering concentration, I have a fairly good grasp on the general concepts of aliasing and filtering. What I don't understand is why having an anti-aliasing filter should ever be problematic for images. As I understand they are implemented as low-pass filters in front of the sensor, which prevents high-frequency data (that data in which there is extremely rapid change from pixel to pixel) from getting through to the sensor, while letting everything else in. High-frequency data could be noise or moire, but the threshold for "bad" data is so high that there's no reason that the data you actually want should ever be stopped by it. That is to say, the local frequency of moire is so much higher than the frequency of, say, a transition from a person's clothing to the background behind them, or even the transition between edges on a repeating pattern, that I don't understand why having an anti-aliasing filter could ever be detrimental to any but the most extreme images.
Please enlighten me.