Can AI Create Good Abstract Art?

AI’s illustrations are threatening the illustrator’s job, and AI’s photo-realistic image fools experts’ eyes, but can AI create good abstract art?

Abstract art is a type of art that does not attempt to represent anything in reality. It is a world of its own, where shapes, colors, and lines flow, and emotions are free to roam.

AI has the potential to create abstract art because it can generate images that are not based on anything in the real world. AI systems can be trained on a dataset of abstract paintings and then used to generate new paintings in the same style.

However, there are some challenges to creating abstract art with AI. One challenge is that AI systems do not have the same level of creativity as human artists. AI systems can only generate images that are based on the data they are trained on. This means that AI-generated abstract art is often limited in its originality and creativity.

Another challenge is that AI systems do not have the same level of understanding of human emotions as human artists. This means that AI-generated abstract art is often less likely to evoke an emotional response from the viewer.

A third challenge is that many AI systems rely on human prompts to generate art. This can be problematic because it can be difficult to put abstract ideas and emotions into words. As a result, AI systems may not be able to generate art that accurately reflects the artist's intent. Additionally, human prompts can limit the creativity of AI systems. If an AI system is only given a limited number of prompts, it will only be able to generate art that is similar to the prompts it was given. This can stifle creativity and prevent AI systems from producing truly original work.

Despite these challenges, AI has the potential to create abstract art that is beautiful and thought-provoking. As AI technology continues to advance, it will be interesting to see how AI and human artists can work together to create even more innovative and exciting works of art.

One way to address the challenge of AI systems not having the same level of creativity as human artists is to train AI systems on a wider variety of data. This would allow AI systems to learn about different styles of abstract art and to generate art that is more original and creative.

Another way to address the challenge of AI systems not having the same level of understanding of human emotions as human artists is to train AI systems on data that includes information about human emotions. This would allow AI systems to learn how to generate art that is more likely to evoke an emotional response from the viewer.

Here are some examples of AI-generated abstract art:

The images above were created by an AI system called Craiyon. Craiyon is a generative AI tool that can create images based on a user's prompt. the user provided the prompt  “Create an abstract art with fluid shapes with a color palette of white, pink, purple, cream, blue, red, burgundy and navy.” Craiyon then generated nine images based on the color palette and fluid shapes.

The images above were created by an AI system called Dall-e. Dall-e is OpenAI’s image tool that creates images based on a user's prompt. The user provided the prompt “The painting should be in the style of a nebula, with swirling colors and shapes. The colors should be vibrant and saturated, and the shapes should be organic and flowing. The painting should evoke a sense of awe and wonder at the vastness of the universe." Dall-e then generated four images based on the user's prompt, but with a more abstract style.

Ultimately, I think that AI and human artists can work together to create abstract art more collaboratively. This is the area I’m currently working on. Stay tuned for more exciting findings!