Some have argued that AI is not creative because of human nature. However, AI can mimic the creativity of humans in some forms. It is better at poetry and short stories. For example, an AI Rembrandt won’t be as good as a real one, because it won’t know what makes him or her tick. Similarly, an AI artist won’t be able to recognize the individual personality of each painting.
While AI can mimic creativity, it is difficult to create truly unique works of art. The process of creativity is incredibly complex and subjective. Past experiences play a significant role in the creative process. That is why current AI systems can only reproduce a part of the creative process. Creative art is an excellent example of this. However, it doesn’t always work this way. In order to truly be creative, AI needs to be capable of pushing its limits.
Creativity comes from the human mind. For example, advertising relies on creating an emotional connection with consumers. However, AI is capable of automating the testing of marketing campaigns across different audiences, which makes it very flexible. It is possible to teach AI creative techniques if they are trained correctly. Assuming these methods are correct, creativity will continue to grow. So, we should stop worrying about whether AI will be creative, and focus on how to make humans and AI work together for the benefit of society.
While the world of artificial intelligence isn’t yet fully human, it has shown promise. Flow Machine, an AI creative writing program that uses Markov models to analyze musical patterns, was recently used to create a song inspired by the Beatles. Human composers added the harmonies, instrumentation, and lyrics. Researchers at the Queen Mary University and Kingston University in London created an AI that uses recurrent neural networks to create music, a method that is known as folk-rnn.
While the concept of artificial creativity is still far from perfect, it is clear that there is progress being made. We now know that neural networks can write 1 the Road, develop AlphaGo, and craft arguments in Project Debater. These advances are making it possible for machines to mimic the creative processes of the human brain. However, they can never replace the human labor force. But can Artificial Intelligence be Creative? will help us decide whether AI is really capable of creativity.
AI can now create works of art, music, and mathematics. In recent years, researchers at MIT have developed machine learning systems that can mimic the process of painting. The program Timecraft has been able to mimic painting brushstrokes and even paint the image itself. This kind of AI art is not based on a set of rules, but rather a process of studying thousands of images and trying to reproduce their aesthetics.
IBM Watson has made its first attempt at using AI to create a movie trailer. The Morgan trailer was produced by IBM Watson, a machine learning system. John Smith, the lead developer, tasked Watson with analysing hundreds of horror movie trailers. Using these data, Watson selected scenes from the movie Morgan and sent them to editors for patching together. The entire process was shortened from weeks to one day, and the result is more than just a movie trailer.
However, creative AI poses a new threat to the workforce. According to a recent report by PwC, as many as thirty percent of jobs will be automated by the mid-2030s. Not all industries will be affected equally. But jobs that were once considered safe from automation are at risk. Jobs like writers, musicians, and chefs may be the last ones to be replaced. It will take a while for AI to replace humans, but that doesn’t mean artists shouldn’t believe that AI can’t be creative. Besides, AI will never miss a deadline, and it won’t ask you for more money.
In addition to the music industry, AI has also found its way into the music industry. There have been several exploratory projects whereby AI has been used to create music. While AI algorithms have been found to come up with some interesting musical structures, they still need to be refined by human composers. These projects show that the technology can be creative. Once this technology is available, it can truly revolutionize the creative process. Once this technology is widely used, AI may become the next era of music creation.