There was a time when art connoisseurs were regarded as the ultimate go-to source when one sought to confirm the authenticity of a piece of artwork. Their ability to see what the untrained eyes couldn’t was seen as mysterious and even elusive, something of a higher plane that only a few were privy to.
But now, the advent of AI might change the game completely. Recently, AI analysis performed by Art Recognition determined that “Samson and Delilah” (c.1609-10), a painting attributed to Peter Paul Rubens that was sold for £2.5 million in 1980, was confirmed with 91% of certainty to not be of the artist’s handiwork.
Image: Samson and Delilah/Peter Paul Rubens/The National Gallery
A new study at Case Western University shows that with the brush strokes recognizing machine learning, they can predict who painted what with up to 96% accuracy level. With robot connoisseurs, artworks authenticity can now be determined with higher objectivity rate.
Image: F.Ji et al, Heritage Science 9:152 (2021)