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AI and its Possibilities/Destructions in Art.
Latest   Machine Learning

AI and its Possibilities/Destructions in Art.

Last Updated on November 28, 2023 by Editorial Team

Author(s): Green

Originally published on Towards AI.

Image created from AI.

Artificial Intelligence has become a super streamlined topic. Many people are skeptical and optimistic, and some see it as a great business opportunity.

Here is a look into AI in art.

Why it is not what you think

It’s really easy to assume that when you type in a prompt into an AI tool specific for generating art, like DOLL-E 2, all the AI is doing is taking two images and cropping them together. Except, this is not how it works.

In an interview with Cleo Abram, who is a journalist and video producer, Aditya Ramesh, a researcher and developer of Open AI explained how these Art AI’s work.

He describes the image produced by AI as the intersection of a Venn diagram where these AIs learn about style, aesthetics, and more.

Image from Cleo Abram

One side of the Venn Diagram containing images is called Clip, and the other side is called unCLIP or diffusion. The side of unCLIP uses noise, which is a process when an image goes from blurry to clear. The process an AI takes to create an image is actually a bit more complicated than explained above. How the Clip part works is that from the giant image datasets that these AIs have, the images are seen by the AI in the form of numbers. These numbers are associated with three colors, red, black, and blue.

Image from Vox.

Now, what the AI does is that it takes the prompt, which is done with the help of Unclip understanding word to text, and Clip turns it into a “Sketch”. Then, unCLIP uses noise to make the image a bit more pleasing.

Image from Cleo ABram

The AI’s learning significance

So what it’s not doing is taking two images and just cropping them together, but rather generating a completely new image from what it has learned on its training models. AI has this scope of creativity to generate completely new images because it considers so many variables when asked to create a new image. This is what makes these AI models learn about style, aesthetics, and even how it can produce art that looks like a certain artist’s style.

Will it put artists out of work?

The ultimate answer I believe, is no; AI-generating art won’t put artists out of work. The reason for this is because of the availability of these AI-generating art machines. If everyone can produce art through AI, then it truly creates a value difference between art from an artist and one from AI. This widespread availability might create some new opportunities.

Cleo Abram talks about one super special term called The Gap, and why AI could help certain music artists, but I feel it has a great connection to AI art as well. The Gap is the difference between our ideas and our technical skills. She states how our idea is perfect in our minds, something like an art idea, but when we go to try and recreate it, it comes out differently because our technical skill does not match with what we originally imagined, so we have to end up shrinking our idea a bit.

Image from Cleo Abram

Except with art AI, could help artists create the original idea masterpiece in mind with the AI tool. This is an example of how AI can be a tool for artists to use.

Another reason is that there will be artists who will learn to get good at using this new tool. An example of this is photographers. At first, when cameras were invented, artists creating portraits might have thought they would not have a job anymore, but the invention of photography has created a new type of creativity and self-expression for new artists.

Photo by Ben Warren on Unsplash

Who do we credit, and what about consent?

One major question many people have is who we credit for these images generated by AI since the data they have been trained on is from artists without asking for their consent. This major dilemma is what has been making many artists angry and what you have been seeing on social media a lot.

Something to understand about these major AI-generating art machines is that they are not tools accessible to everyone, and DALL-E 2 specifically has stated it has been created for research purposes.

With these amazing capabilities of machine learning to create such wonderful artworks, it does not provide artists with protection though. Since art-generating AIs can create artwork to replicate a specific artist’s style, this can be very damaging to the artist as well. With AI’s being able to create the artwork faster and at a cheaper cost, it brings down the value of the artist’s pure creations. Except it could do a lot more with serious issues like identity theft.

Artists like James Gurney have been referenced in prompts thousands of times. He believes that it should be fair for artists to have a choice to opt out

Image from Vox video

So due to all this, it’s unclear who should be credited, but it’s understandable why artists should have a choice.

Check out my resources used to research this article

U+1F3A8 “Cleo Abram” video: https://www.youtube.com/watch?v=NiJeB2NJy1A

U+1F3A8 “Vox” video 1: https://www.youtube.com/watch?v=SVcsDDABEkM

U+1F3A8 “Vox” video 2: https://www.youtube.com/watch?v=sFBfrZ-N3G4

U+1F3A8 MKBD video used: https://www.youtube.com/watch?v=yCBEumeXY4A

U+1F3A8 MKBD video 2 used: https://www.youtube.com/watch?v=MwAAH9tBoMg&t=0s

U+1F3A8 SamDoesArt video used: https://www.youtube.com/watch?v=5Viy3Cu3DLk

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