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.

JMIR Publications released four feature News and Perspectives articles this week, covering developments in smart textiles, PMOS treatment in India, the FDA’s TEMPO pilot for regulating AI-enabled devices, and the ethical quandaries of using online forums in research.

King’s College London is co-leading a new partnership uniting London’s health and care community, underpinned by a significant investment in the city’s research infrastructure.  

A new LMU study finds that people are reluctant to attribute consciousness to artificial intelligence, even when AI behaves exactly like a human.