Who Makes Better Art—Humans or Computers?

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Who Makes Better Art—Humans or Computers?

As abstract images go, do these images strike you as creative, expressive, and artistic? 



A group of test subjects thought so. They were ranked highest out of a large selection of sample artworks in a blind test.

The samples included artworks created by up-and-coming human artists from ArtBasel together with images created by computers using machine learning algorithms.
"Researchers programmed [the computer system] to study 80,000 WikiArt images of Western paintings from the 15th to the 20th century so that it knew what kind of images have traditionally been aesthetically appealing. But the scientists didn’t want to devise a system that could merely emulate history paintings, genre scenes, landscapes, and portraits in established styles — a machine that truly has artificial intelligence, after all, must be creative. Once the system learned these styles, it then worked to deviate from them."
What surprised the researchers was that the images deemed most original and creative by human observers were created by the computers, not the humans.

And these weren't just computers aping the superficial art styles of existing artists. They were original visual ideas that expert art-watchers had not seen before.

"Researchers tested whether or not these generated works could pass as creative to some people. An object, for their purposes, demonstrates creativity if it is both “novel and influential.” The first question they posed was whether humans could simply distinguish between the computer’s art and human-made artworks. As Elgammal sums up in a blog post, participants believed that the generated images were made by artists 75% of the time, compared to 85% of the time for the collection of Abstract Expressionist artworks, all made between 1945 and 2007. In terms of the Art Basel paintings, participants thought that humans had made them just 48% of the time."
The finding raising profound implications about the uniqueness of human creativity. Is what we do as artists a personal and emotional act of genius, or an optimized set of choices based on available information? If it's the latter, it is something that a computer could figure out.

It also raises questions about what we expect as viewers of art, because, after all, art is really about communication. Does it matter to us who creates a work of art? Do we want to surround ourselves with images that have passed through a human mind or hand? Or are we willing and eager to be surprised and delighted by what our bot-brothers invent for us?
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Read the article on Hyperallergic



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