Smart AI- 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.
Neural nets can even restore color to black and white images that the network has never seen before in a similar manner to a child with a coloring book — an example of this is below.
Each of these demonstrations of the creative prowess of AI relies on new advances in the field of machine learning, which allows computer programs to compute things in a manner similar to the human brain. The key, however, to machines’ lack of true creativity lies in the word compute.
Each example above utilizes a carefully constrained algorithm to achieve a very specific end goal. At its core, these algorithms are simply manipulating symbols then concatenating the results in a meaningful way. As John Searle argued in Minds, Brains, and Programs, this does not represent understanding.
True machine creativity cannot be derived from a system that solely takes input, performs mathematical functions, and presents an output to the eager programmer that created it. As long as this is the case, the threat of machines completely displacing the human labor force is nonexistent.
This is not to say that machine intelligence won’t surpass, or hasn’t already surpassed, the intellectual power of the brain. Many try and make a direct comparison between human computational power or storage capacity and that of computers. This is not necessarily a useful comparison, but for the time being we can utilize it to demonstrate the compartmentalized superiority of machines.