AI-Created Art Explained: Use Cases & Examples

Explore the world of AI-generated art. Learn how AI art works, its rise in popularity, and potential applications in the creative industry.
hero image blog

$432,500.

It is the sum for which Edmond De Belamy sold in 2018 at Christie's.

edmond-de-belamy

What's unique about this piece of art is that it's an AI-generated piece of art.

In other words, the artists used a machine learning algorithm to create such a piece of art.

While numerous such sales have taken place since then, this one has highlighted how AI is changing the art world.

In this article, I will discuss the following topics:

  • What is AI-created art?
  • How does that work?
  • The emergence of art created by AI.
  • Considerations for using AI-created art.
  • And even more.

Let's get started.

What is AI-created art?

Art created by AI refers to artificial intelligence that uses neural networks to create new images that have never been seen before.

In other words, AI developers use a data set of images to train a machine learning algorithm to generate new concepts based on what it has learned.

The results can be incredibly realistic or completely abstract, depending on the artist's vision.

How does art created by AI work?

You can use machine learning and AI tools to create art.

Thanks to AI artwork generators, the artists provide a text that generates the AI artwork.

That said, there are various machine learning algorithms for art created by AI.

1. Generative Antagonist Networks (RAG)

RAGs are neural networks that can be used to create realistic images.

These networks consist of two parts:

  • A Generator That Creates New Data
  • A discriminator that tries to guess what information is real and what information is false.

The generator gets better at manufacturing false data that the discriminator cannot recognize as false.

Then, the discriminator improves in the detection of false data.

This process continues until the generator creates data that cannot be distinguished from real data.

A creative adversarial network is another type of neural network that can be inventive when generating art.

2. Convolutional Neural Networks (CNN)

AI systems can also use convolutional neural networks (CNN) to create art.

CNNs are a type of neural network that AI artists use for image recognition.

They work by taking an image and breaking it down into smaller pieces or convolutions.

The CNN then processes each convolution to extract features from the image, then recombines the elements to create a new image.

The AI then repeats this process to create different versions of the same image or new images.

3. Neural Style Transfer (NST)

Human creativity can also be used to manipulate neural networks and create art.

In NSTs, digital art is created by taking the content of one image and the style of another painting and combining them to create a new one.

The content of an image is the subject matter, while style is how the image is composed with respect to elements such as the Color, brush strokes, etc.

By training a neural network on a data set of images, it can learn to extract content and style from an image and combine them to create a new image.

Emergence of Art created by AI

Visual art through image generators is one of the ways that AI has become creative.

Computing and deep learning have paved the way for various machine learning algorithms that can be used to create art.

While the creative process has traditionally involved factors such as talent and inspiration, AI is changing the game by allowing anyone to create art.

With the advent of photorealistic image generators, anyone can create realistic images without much artistic talent.

Various examples of message guides can give you an idea of how these generators work.

Additionally, there are also free, open-source AI art tools that can help you get started creating your art.

What things should artists keep in mind?

Creating AI-generated art involves taking into account a few essential considerations.

Here are a few things to keep in mind:

1. Originality

When human art creates original works, the artist can claim their identity.

With machine-generated art, it can be more difficult to establish its uniqueness. Machine-generated art is often mass-produced and therefore less unique than traditional art.

That said, registering images as NFTs (non-fungible tokens) can be used to establish ownership and originality of digital art.

2. Value

As art takes on a new visual form thanks to computer-generated images, its value may change.

The value of a work of art was once based on elements such as the artist's reputation, the rarity of the work, and its historical context. With computer-generated art, one can find the value of the input image, the algorithm used, and the creator's intention.

3. Meaning

As computer art becomes more realistic and lively, it also takes on new meanings.

With computer art generators, users can create images that convey specific messages or feelings.

4. background

Artificial intelligence art can take any form, from abstract to realistic.

Because computer-generated art can take the form of anything from concept art to photorealistic images, it's critical to consider the context in which people are going to look at it.

After all, an AI painting with a specific context may be easier to interpret.

What can't Ai-created art do?

Since the various works of art created are created by algorithms, there are still multiple limits to what AI-created art can produce.

While AI technology has advanced a lot and the creation process has become automated, it is still difficult to generate realistic images.

AI paintings involving humans and different body parts (including hands, faces, and torsos) are still far from reality - we'll get to that in the next section.

At this point, AI works and abstract artistic creation go hand in hand.

Detect a work of art created by AI

Here are the main ways to achieve AI-created art from ordinary art:

  • Quality : One of the main ways to spot art created by AI is its lack of quality. While computer programs can generate realistic images, they often lack the nuance and detail of images created by human artists.
  • Realism : Realism is another way to identify works created by AI. A creative tool that generates computer-generated images still cannot fully understand the subtleties of real life. This is why images generated by AI often look slightly artificial.
  • Faces, Eyes, and Hands Are Approximate : People can always spot artificial intelligence paintings involving other people by their inaccuracies. With AI-generated images, body parts such as faces, eyes, and hands often appear slightly off. More updates are needed for algorithmic art related to people to be truly realistic.
  • Blurry Transitions : Transitions that are part of an image are often another clue that the AI created the image. While human artists can naturally create smooth transitions, computer programs often struggle to accomplish this task. As a result, images created by AI often have blurry or irregular transitions.
  • Very saturated colors : Seeing images that are excessively over-processed is usually another sign that the AI created the art; while other artists can use saturation to achieve an effect, they often do so in a more subtle way than AI-generated works.

The Future of Art Created by AI

OpenAI Launched the General Trend of AI-Created Art by Opening Dall-E 2 to the general public.

That said, no one can predict what the future holds.

With Tools Such as Jasper Art, Photosonic, Midjourney, Nightcafe, Google Deep Dream and many others, many stakeholders are interested in the future of art created by AI.

Such interest means that the future of computer art is likely to be positive. While it is impossible to predict what will happen, we can expect the continued development of computer-generated art.

Summary.

Ai-created art is a new and exciting field that is only in its infancy.

Although the quality of AI-generated images has yet to equal that of human-made works of art in some respects, it is improving rapidly.

At the same time, there are areas where technology has (subjectively) supplanted human creativity.

It will be interesting to see how art created by AI develops in the years to come.

  • Will it become more realistic?
  • Will we see more abstract works?
  • Will it be used primarily for commercial purposes?

Only Time Will Tell.

For now, we can enjoy the various creations that have emerged thanks to this new technology.

What do you think of art created by AI?

Have you seen examples that you particularly liked or that fascinated you?

Further reading: Used with art created by AI, the AI design software tools can help you create amazing visuals without the need for a human designer.

Then, with the AI marketing tools, you can go a step further and use automation to save time on tasks like social media management, email marketing, etc.

Managing a business with various software tools fromartificial intelligence can help you intensify your efforts and free up time to focus on other areas of your business.

profil auteur de stephen MESNILDREY
Stephen MESNILDREY
Digital & MarTech Innovator

Your time is valuable... imagine:

Doubling your productivity in 30 days...Cutting operational costs by 40%...Increasing your ROI by 25% in 6 months...

Sounds too good to be true? Yet:

  • ✅ 71,000+ executives have seen their growth soar by 35% on average
  • ✅ 5 years guiding startups to success (valued at $20M+)
  • ✅ 100,000+ professionals draw inspiration from my articles every month

Want to stay ahead of the curve? You're in the right place! 💡

📩 Subscribe to my newsletter and receive weekly:

  • 👉 1 high-impact, ready-to-use strategy
  • 👉 2 in-depth analyses of transformative SaaS tools
  • 👉 3 practical AI applications for your industry

The journey starts now... and it's going to be extraordinary! 🚀

🔗 DISCLOSURE ON AFFILIATE LINKS
Our strict policy prohibits any recommendations based solely on commercial agreements. These links can generate a commission at no additional cost to you if you opt for a paid plan. These brands - tested and approved 👍 - contribute to maintaining this free content and keeping this website alive 🌐

For more details, see our editorial process complete updated on 01/08/2024.