We write novels, create music, architectural designs, paintings, inventions and there is a new method of solving problems. Artificial intelligence is able to accomplish most of these today. It can do writing, drawing and creating pictures, music and coming up with ideas in just few seconds.
This leads to a major question since at its core, a machine can create something that is creative, then does that equate to human creativity?
The answer is a mix between a Yes and a No, but rather a complex form of AI can be helpful but creativity is not just creating something. It entails experience, feeling, interest and evaluation as well.
Life can be considered in many ways to be the starting point of human creativity, which machines themselves do not undergo.
An author can come up with a tale based on friendship, loss, excitement, failure or love. The inspiration can be in the memory or daily frustrations that a designer may have. An artist can make a song from a challenging time.
AI does not involve itself in a human life. It forgets childhood, is anxious about a big occasion, misses a person or even dreams of the future. It operates by computing patterns based on information and coming up with responses based on patterns.
AI can be used to come up with campaign ideas by a marketer. The scripts or story ideas can be examined by a movie director. A student can get different explanations on a challenging topic. A graphic designer can develop initial graphical ideas.
In the case of professionals, this may save time and decrease redundant work. Creative work can also contribute to overcoming one of the most difficult aspects of creative work, which is the initial step, with the help of AI. An empty sheet of paper can be daunting. When a few ideas come in sight, this provides an individual with the kick to come up with something much better.
The actual threat is when individuals cease to think independently. Consider a writer who requests AI to write every single article, and ends up taking the initial response and never incorporates personal thoughts and experiences. The last work can be grammatically perfect and it might sound one-dimensional and unsurprising.
It is possible that the same dilemma occurs in design, education, advertising and music. When all use the same tools and work similarly, creative work might end up sounding cliché.
Creativity is based on a choice. What concept to remain? Which is to be rejected? How is the emotion of the audience to be? What is something to share?
AI is able to mix information in a new way, and yield some unexpected results. Its production might be perceived as original but the terms originality and creativity are not necessarily synonymous.
One of the creative human ideas may be when one notices something that other people overlooked or a challenge of a belief that is set or relating what one has experienced with others.
AI can help in those processes and it lacks personal purposes, values, and experiences that provide an idea or a rationale to exist.
It is unlikely that this is going to be a mere competition between humans and AI in the future with the two being on different sides.
AI can handle brainstorming, repetitive editing, speedy experimentation and different initial options. Humans can give guidance, feeling, taste, context, moral standards and the ultimate choice on what is worth sharing.
This would enable creative work to be more accessible. An individual with a good idea but low technical knowledge can possibly make it into a design, presentation, video or music using AI.
The valuable skill can then change to not merely content creation but to be aware of what good content is like.
Another reason why humans will be significant is because in real life human beings can empathise with human stories.
Humour, vulnerability, personal experience, people relate to struggle, as they can find all these in themselves. A computer can create a poem on loss, but when a human reads it, they will still have questions regarding who wrote it.
Human relationship cannot be made to be speedy or efficient. The audiences will continue requiring creators who know their audiences and challenge assumptions, build trust and have a purpose in getting their message across.
