Our eyes do not always tell us exactly where things are—and that may be a feature of how biological vision works, rather than simply a flaw. A new study by York University researchers uses a common illusion to ask: If artificial intelligence is meant to see more like us, should it make some of the same systematic perceptual “mistakes”?
For example, after staring at something moving steadily in one direction, a stationary object viewed immediately afterward can appear slightly displaced in the opposite direction. This well-known visual illusion, called a motion aftereffect, gives scientists an unusual window into the computations underlying perception: The image itself has not moved, but our experience of where it is has changed.
The study, title...
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