Sociology professor Anton Oleinik argues that neural networks are structured in a way that limits the possibility that they will ever have true artificial creativity. Neural networks–a common type of artificial intelligence–are infiltrating every aspect of our lives, powering the internet-connected devices in our homes, the algorithms that dictate what we see online, and even the computational systems in our cars. But according to an article published in the peer-reviewed journal Big Data & Society by Anton Oleinik, a sociology professor at Memorial University of Newfoundland, there's one crucial area where neural networks do not outperform humans: creativity. Researchers have projected that automation may claim 800 million jobs around the world by 2030. Others suggest that as many as half of American jobs may be under threat from automation. But amid all the handwringing about robots taking people's jobs, Oleinik's analysis is further evidence that AI will likely only replace repetitive tasks that humans aren't particularly skilled at to begin with.

Experts say that AI will never match human creativity. Artificial intelligence is more likely to help artists make new kinds of arts. AI lacks creativity, but AI human creativity, together can create wonders.

One could be forgiven for thinking that machines are creative. Numerous artificial intelligence projects appear to demonstrate that machines are capable of creating intricate works of art that rival those created by their inferior human creators. Just recently, IBM Watson created a movie trailer for the horror film Morgan (IBM). Google's DeepDream AI fascinated the world with its eerie superimpositions of eyeballs, cats, birds, and iguanas onto everyday images in a seemingly creative way. The image below was transformed with this very net.