How AI Is Being Used To Prove Authenticity In The Art World

Artificial intelligence is already able to imitate the work of great artists, so why shouldn't it also be able to spot genuine works from forgeries? In a new paper, researches at Rutgers University in New Jersey and the Atelier for Restoration & Research of Paintings in the Netherlands examined how machine learning can be harnessed to more effectively spot fakes. The researchers tested the AI using a data set of 300 digitized drawings consisting of over 80,000 strokes from artists including Pablo Picasso, Henry Matisse and Egon Schiele, among others. Using a deep recurrent neural network (RNN), the AI was able to learn which strokes were typical of each artist, and then used that information to make educated guesses. The results showed that the AI was able to identify the individual strokes with an accuracy of between 70 to 90%.