Can Computers Compete With Humans in Creative Fields?

Creativity is at the heart of many human jobs. Architecture, art, music, writing, and other creative fields have long been considered the exclusive domain of human workers. Could artificial intelligence one day compete with humans in these fields?

Computer scientists are now using AI algorithms to create highly creative outcomes. Studies show that AI can’t fully replicate human creativity yet, but researchers continue to improve their algorithms to help machines compete with humans in certain types of jobs. Let’s take a look at how computers can compete with humans in creative fields.

What is creativity?

Creativity has long been defined as the ability to produce new and original ideas or products. While some activities, such as mathematics and science, are relatively objective, creativity is subjective and difficult to define.

Researchers have identified three key components of creativity: novelty, usefulness, and aesthetics. Creativity isn’t just about coming up with ideas — it’s about coming up with ideas that are new, useful, and pleasing to the senses.

It’s also important to note that creativity can be applied to a wide range of disciplines. Creativity isn’t limited to the arts. It is also present in science, technology, business, and many other fields. Computers aren’t just learning how to be creative in art, music, and writing anymore — they’re applying their creativity to a variety of fields.

How is AI used to create creative content?

Most AI models that create creative content are trained to analyse large bodies of data. In some cases, computers are trained to mimic human creativity by analysing and emulating examples of human work. In other cases, computers are trained to create completely new, original work.

AI creative algorithms can be trained to generate creative content in a variety of formats, including text, images, and audio. For example, computers can be trained to generate new, original music. When it comes to text, computers can be trained to generate original and creative content in a variety of formats. For example, researchers at the Massachusetts Institute of Technology (MIT) developed an algorithm that can create original literary fiction stories. MIT researchers trained their algorithm by feeding it thousands of classic novels. Their algorithm learned to analyse the common narrative patterns of these novels to create its own, completely original works of fiction.

In other cases, computers can be trained to generate creative non-fiction content. Researchers at the University of California, Berkeley developed an AI algorithm that can analyse data and generate original, creative journalism pieces.

Can computers create art that’s indistinguishable from humans?

Artificial intelligence is nowhere near the level required to create art that’s indistinguishable from humans. We may one day see computer-generated art that looks like it was created by a human artist, but that day is still far in the future. Researchers have been trying to teach AI to create original art since the 1960s, but the results have been underwhelming. While AI can create new images, they’re often weird and abstract — they don’t seem to have any artistic merit. That said, recent AI research in the field of artificial creativity has shown promising results. Researchers have created algorithms that can take a wide variety of different images and transform them into completely new images. The images generated by the algorithms show a clear artistic style and are often very different from the original images.

Can AI write novels and screenplays?

AI has been used to write stories and novels for years now. While these stories may not be award-winning material, they’re often good enough to pass for human-written work. Computer scientists have used a technique called “story framing” to teach AI to write novels. AI algorithms are trained to create plot outlines for novels, and they’re then used to write the full novels using existing text. AI algorithms can also be used to write screenplays. Researchers have created algorithms that can take plot outlines and generate screenplays with characters, dialogue, and plot twists. The screenplays aren’t perfect, but they’re often good enough to use as a basic outline for human screenwriters to build on.

MIT researchers have trained an algorithm to create novel plots. Their model was trained to analyse thousands of classic stories and generate new creative plot lines.

Researchers at New York University developed an AI algorithm that can generate creative storylines. Their model can even generate a storyboard that could be used to create a screenplay. Their researchers trained their model to analyse classic novels and screenplays by extracting the underlying elements of a story, such as characters and settings.

Can computers produce music we love as much as humans do?

Computers can generate music that’s similar to the work of famous musicians. Artists use computer algorithms to create music in many different genres. Some musicians have used algorithms to create classical compositions. Other artists have used algorithms to create electronic music. Some musicians have even used algorithms to create music in the style of famous heavy metal bands. Computers can also generate music that’s completely original and unique. Algorithms can use natural language to write musical instructions. This allows algorithms to create music that sounds like no composer has ever written before. Researchers have also explored ways to use AI to improve the composition process in general. This would give musicians more time to focus on their performance and their creativity.

However, It’s often obvious that a song was generated by a computer, and the tracks are rarely enjoyable. Recent AI research has shown promise, but we’re still a long way from computers producing music that we love as much as humans do.

Will AI change the way we perceive creative work?

As AI becomes increasingly creative, it’s important to consider how these advancements will impact our daily lives. To what extent can computers compete with humans in creative fields? When computers generate creative work, how can we truly distinguish the difference between a computer-generated and human-derived piece of content? When computers generate creative text, is it truly authentic? What makes human-written content different from computer-generated content?

These are important questions that researchers and developers must consider as AI becomes more creative. There’s no denying that computers are becoming increasingly creative. As AI algorithms progress, computers will become better at generating creative content. But how do we know when computers have truly reached a creative level that’s indistinguishable from humans?

Researchers have a few ideas. For example, humans can be trained to identify computer-generated text by identifying indicators such as strange word choices and other anomalies.


Artificial intelligence is rapidly advancing. We’ve seen how it can be used to write poetry, generate music, and even create artistic paintings. Computers are quickly becoming more creative and are closing in on human creativity. AI algorithms are being trained to analyse large bodies of data and generate creative outcomes. These algorithms are also being trained to analyse examples of human work to emulate creativity.

Whilst computers aren’t there yet, researchers continue to make progress in training computers to be creative.