Fooling artificial brains with optical illusions

White’s Illusion

NewScientist.com reports:

A computer program that emulates the human brain falls for the same optical illusions humans do [Ed. like the White’s Illusion example above where the two gray areas actually have the same value].

It suggests the illusions are a by-product of the way babies learn to filter their complex surroundings. Researchers say this means future robots must be susceptible to the same tricks as humans are in order to see as well as us.

Obviously this has certain implications in designing systems that mimic human vision:

Most creators of machine vision try to copy human vision because it is so well suited to a variety of environments. The new findings suggest that if we want to exploit its advantages, we also have to suffer its failings. It will be impossible to create a perfect, superhuman robot that never makes mistakes.

Why do I feel this is somehow reassuring?