Can machines replace the human creativity? It’s a question that was never asked before the advanced computer networks became available to process data. If you ask this question today, chances are you will get a “No way” answer. After all, machines have no consciousness and can’t be creative on their own. Or can they? Yes, they actually can!
Machines have the ability to replace a lot of human creativity. Several companies are working on their own creativity machines. Pixar is the biggest animation studio in the world. They make high-quality animations that humans have to work hard to make. However, a new algorithm developed by Pixar researchers is able to produce much better results than the humans themselves.
As artificial intelligence (AI) grows at an exponential rate, our machines are becoming more creative. Could the machines replace human creativity? What is creativity, anyways? Creativity is the ability to create out of nothing, to see possibilities where there previously weren’t.
Is it possible for machines to be creative as human?
Artificial intelligence uses machine learning algorithms, neural networks, big data sets, and self-optimization to process a vast amount of information in an intelligent manner. This allows them to predict the outcomes correctly, relying only on data and not on assumptions. It’s breathtaking to see them in action! Imagine a world where machines could do an art critique or give lyrics to a song. All these applications are possible today, while a decade ago it was virtually impossible.
Searching the Web for information and inspiration is a vital part of creativity. It’s our belief that machine learning will play an even more important role on that journey.
Machines are likely going to be better at finding and extracting information and better at formulating ideas. That’s what they are good at. We, as humans, need to remain the ones that determine how those pieces of information fit together. We want to nurture our creative side in new and interesting ways, but we are in no rush to replace the human element of creativity with artificial intelligence.
Why can’t machine be complete creative?
Creativity is not something machines can replicate. It’s defined as a novel and useful combination of existing ideas. The biggest difference between machines and humans is the ability to differentiate. Although machines are excellent at sifting through vast amounts of data, they require humanity to determine how to utilize this information — and not vice versa.
Machine learning can help us discover patterns and outliers that we would not have seen otherwise. One day, artificial intelligence may be able to assist us in the conceptual aspects of creativity and the synthesis of ideas; at that time, we will have computers to rely on for our creative decisions.
Artificial intelligence will enable computers to help us to be more creative. We aim to develop a relationship with computers that is collaborative and symbiotic.
But, it’s important to keep in mind, that even though machines can be used for creative purposes, they will never be as creative as humans. The reason is that every person’s brain structure is unique and this makes our contributions to creativity unique as well.
Humans have historically been innovators. But who really thinks it’s a good idea to have a machine tell you what to work on next? There’s creativity in picking that task. Machines don’t have that ability yet.
How AI model becomes creative?
Machines can only be trained to perform a task based on information that we give them. People, on the other hand, have the ability to build upon new knowledge and are able to form creative innovations from new concepts. We can also improvise when something is not going as planned. This flexibility makes it possible for us to remain creative in situations where machines cannot.
So, while machines can produce very creative ideas and products, the difference is in the quality of those ideas. For example, in the case of ‘The Three Bears’, machines will find it difficult to identify which part of a story communicates a specific tone and which part doesn’t. In distinction, humans are capable of identifying what makes an effective story — or what lacks one.
So, while machines will grow smarter in relation to correlating data sets (collected online and offline), there are some aspects of creativity that a machine cannot yet replicate — making human creativity still remains as an essential part of creating successful products.
Machines, on the other hand, are very good at using machine learning to quickly gain insight into a topic. While they can come up with some creative ideas by doing this, the process of actually gaining this insight and turning those concepts into actionable information is where humans outperform machines.
As humans, we are much better at learning general concepts and then applying them in ways that are creative but also unique to each situation. Machines on the other hand, focus on one task and try to do it as efficiently as possible. Therefore, they can be much more rational (in a sense, objective) in their approach to solving problems but being too rational is not necessarily the same as being correct or creative.
“In the end, machines can be very creative (and are often better than humans at it), but in different ways. This means that the two forms of creativity can and should be combined to come up with even better, more impactful work.” — Ash Maurya, Author of Running Lean
Can machines become completely creative as human in future?
Am I saying that machines will never be able to be creative? No, we have already seen some initial successes. Microsoft’s newest chatbot, Tay, has been creating random but often humorous tweets at lightning speed; its rants range from a fear of feminists to a love for Donald Trump. But these rants are not really creative or unique, they’re just replications of what it learns from the humans that interact with it. In other words, Tay is not being truly creative but rather is learning from humans and then imitating what it has learned. Machines are very good at this. They have no moral code, they can recreate a work of art as many times as you want, and they will never interrupt you or complain. But true creativity comes from a human being who sees an object, idea, or thought, and then forms it into something completely new that no one has ever seen before. It’s like ideas are floating all around us on the internet.
We are so used to talking to Siri, Alexa, or a similar voice assistant that the idea of having an actual human being at the other end to actually help us is strange. This is partly because we know that these machines aren’t creative but rather are learning from humans and then imitating what they have learned. Machines are very good at this. They have no moral code, they can recreate a work of art as many times as you want, and they will never interrupt you or complain.
Conclusion :
We can not deny the fact that machines are slowly and steadily becoming integral part of our day to day life. Machines are in stage of learning from data on its own and that’s how machines replicate human creativity. AI isn’t creative as like human yet but matter of fact is that it can replicate creativity from millions of creative data produced by human.
The machines can be creative, but what they are presenting to us is not necessarily their creativity. They are simply imitating human creativity and replacing it with their own.
What do you think? Will machines be able to be as creative as human or may be better then us?