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ARTS & DESIGN


FINDING THE ART IN ARTIFICIAL INTELLIGENCE

AI is giving creators a new medium for experimentation and raising questions
about the nature of art.

By Stephanie Walden — December 15, 2022



ARTS & DESIGN


FINDING THE ART IN ARTIFICIAL INTELLIGENCE

AI is giving creators a new medium for experimentation and raising questions
about the nature of art.

By Stephanie Walden — December 15, 2022

When freelance artist Derrick Schultz needed to create an illustration of Helen
Rosner, a food writer at The New Yorker, he instantly thought of the work of
16th-century artist Giuseppe Arcimboldo, who painted portraits of monarchs with
their faces comprised of fruit.

To create something similar for a Q&A with Rosner, published by typeface
foundry Commercial Type, Schultz turned to an AI text-to-image generator to
replicate Arcimboldo’s style in Rosner’s likeness. These tools make it simple
for designers — or anyone with an internet connection — to generate images based
on a few lines of text describing the visual they want to create. 

Schultz typed out a text prompt, ran the generator overnight, and checked the
results the next morning. When he had 16 AI-generated pieces, he collaged them
together in Photoshop. The final result — an abstract portrait of Rosner made of
food items like fried chicken and noodles — is incredibly detailed, with a
painting-like aesthetic complete with brushstrokes and intricate, interwoven
textures.

Derrick Schultz

An abstract portrait of Helen Rosner, a food writer at The New Yorker, created
using AI.

AI-generated imagery has exploded onto the digital illustration, graphic design,
and photography scene, exciting some artists and evoking existential dread in
others. Earlier in 2022, controversy around using AI as a creative medium
erupted when artist Jason Allen won an art competition with his AI-generated
entry, Théåtre D’opéra Spatial. Some critics thought his use of AI constituted
cheating, while others expressed concern about precedent: If a machine can win
such a competition, where else might they supplant human talent? More recently,
Instagram and Facebook feeds have been flooded with AI-generated selfies created
by the app Lensa AI, created by Prisma Labs. For some, it's a cool new mode of
self expression, but for others, it's raising concerns about privacy for users
who upload images of themselves, the rights of original artists whose work is
used to train the AI, and racial and gender representation.


The idea of technology “cheapening” human-made art isn’t new — it’s been a
subject of debate since the advent of the camera. But some artists and designers
still worry that the rise of AI-generated art may have a lasting impact on their
livelihoods. As more people play around with and explore what’s possible with AI
image generators, the buzzy new technology has raised a few convoluted
questions: Is AI art … art? And what are its implications for human creators and
their careers?



HOW IS AI-GENERATED ART CREATED?

Though AI art has been around in some form since the 1960s, previous tools
like Generative Adversarial Networks (GANs) required users to have advanced
coding skills to operate them. But with the rise of text-to-image generators
like DALL-E, Midjourney, Artbreeder, and Stable Diffusion, the process is now
accessible to anyone — no computer science background necessary. 

AI image generators don’t, however, equate to “instant art.” For the Rosner
illustration, the creative process still took about a month. “When you see a
great AI image, the artist isn’t telling you that they generated 50 images and
49 were terrible,” says Schultz. Illustrating this point, Allen’s award-winning
entry to the Colorado State Fair took around 80 hours, the artist
told Smithsonian Magazine.

 


RELATED: WHAT IS.. ARTIFICIAL INTELLIGENCE?

 

Using text-to-image generators involves a process called “prompt engineering.”
This refers to crafting the snippets of text that the engine uses to spit out
related images. In the demo section of DALLE-2’s site, for example, you can
choose segments of text to create prompts like, “teddy bears mixing chemicals as
mad scientists in a steampunk style.” The engine will then show you a series of
images it thinks meet those criteria.

Ahmed Elgammal, a professor of computer science and founder of Rutgers
University’s Art and Artificial Intelligence Laboratory, has been studying the
technology that underpins engines like DALL-E for over a decade. He notes that
while the algorithms that fuel such platforms vary, most are predicated upon
existing images from open-source databases, such as Google’s TensorFlow and
Meta’s Torch. Text-to-image generators typically learn by looking at millions of
pairs of text and images in such databases, assigning each a numerical value,
and then using those numbers to produce corresponding imagery when it recognizes
specific keywords. 

> “AI-generated content will not only help us with our jobs as artists and
> designers, but it will give us the opportunity to create completely new forms
> of art.”
> 
> — Kaloyan Chernev, CTO, Deep Dream Generator

Kaloyan Chernev, chief technology officer at Deep Dream Generator, an AI-driven
text-to-image platform, notes that the company’s Text 2 Dream tool is trained on
a “diffusion model.” This means it learns by taking image data and adding
“noise,” or small dots that degrade the image quality. It then reverses that
process, de-pixelating the image until the original reappears. After the AI has
learned this capability, it can create visuals whole-cloth from a “pure noise”
image and a text prompt.

Regardless of the specifics of their training, the image results AI engines
produce aren’t simply replicas of existing visuals, but brand new creations —
though they may amalgamate elements from the material in their source datasets. 


BUT IS AI ART … ACTUALLY ART?


About a century ago, Marcel Duchamp unveiled “Fountain” — a porcelain urinal
scribbled with graffiti. He dubbed the piece “ready-made art,” and the backlash
was instant and vehement. Critics decried the piece a hoax and an insult. But a
hundred years later, Fountain appears in nearly every Art History 101 syllabus.

Elgammal sees a parallel with the controversy over AI-generated images. He is
the founder of Playform, a no-code, AI-based platform that allows users to
create images. “In my mind, AI-generated images are a new kind of ‘ready-made
art,’” he says. He says the main impetus for creating the tool was to enable
artists who lack coding skills to use AI in their creative process, from
inspiration and ideation to asset preparation and refinement. “The creator’s
role is really to reverse engineer and make something else with it. That’s when
it becomes valuable.” 

Additionally, there is still a good amount of human skill required to conquer
the art of prompt engineering. Despite its strengths, AI doesn’t understand
context. When you type in “date,” it doesn’t know if you’re referring to a
romantic foray, a fruit, or a day of the year. In other words, striking a
Goldilocks balance with your prompt is an artform in itself.  Image results can
also be tweaked by adjusting the prompt keywords as many times as the artist
wants — or recontextualized for a different “feel,” from whimsical and
cartoonish to moody or baroque. 

Artist credit and copyrighting, however, is still a big question mark — creators
who contribute to AI image generators’ training data aren’t always compensated
if part of their image ends up in someone else’s work. An early sign of what may
be to come, some marketplaces like DeviantArt are now building artist
protections into their terms and conditions.

Starryai

'Enchanted Kingdom of Sinbad' created using a text-to-art AI generator.

Benjamin Lowy, who has been experimenting with AI image generator Midjourney in
addition to his work as a traditional photojournalist, says there’s also a fine
line when it comes to using these tools ethically, particularly in journalism.
In a digital media landscape where deep fakes are on the rise and disinformation
is rampant, the idea that you can make hyper-realistic images from scratch in
seconds is “tremendously dangerous,” Lowy says.

“For me, it's important to have a distinct set of ethics about the images I
create with my camera for journalism versus what I'm trying to do with
Midjourney,” he says. When he posts AI-generated work on his Instagram, for
instance, he ensures the images aren’t “too realistic.” He wants it to be
obvious that the work is art — not journalism. As for the threat to his job, he
thinks that’s less of an immediate concern. “Just like painting wasn't destroyed
by photography, I don't think photography is going to be destroyed by AI,” he
says. “But we have to counterbalance it and think seriously about its
repercussions.”


AI ART AS A TOOL FOR WORK AND FOR ART

There are valid concerns about how the technology may impact some artists’
careers, especially as they present cost savings for companies who no longer
need to send an entire photography crew to a far-flung locale or hire a designer
for marketing collateral. 

But according to Chernev, creatives who have used Text 2 Dream report it
actually reduces their workload by more than 50%. Artists use the platform for
everything from creating marketing materials to designing characters for video
games, and Chernev notes it’s particularly useful in generating thousands of
images that are conceptually similar but visually distinct. 

“From just one character, you can easily create all the characters for the
entire game,” he explains.

That said, learning the intricacies of AI image generation is a time investment
— something Schultz, who teaches the subject at New York University (NYU), tries
to convey to his students. “It's about figuring out how to fit [AI] into your
existing practice to make things more efficient, or to say something you're
already saying in a different way,” he says.

As for how the technology will evolve, experts in the field think that as more
platforms emerge, the technology will only continue to get easier to use. 

While it can take a while to nail the right look and feel of an image today, AI
technology improves rapidly, thanks largely to machine learning algorithms that
automatically adapt and improve as more people use them. Schultz, for example,
is excited for how things like resolution may improve, as well as how artists
might begin using AI generators for more complex multimedia like video. 

Chernev agrees that the technology will keep evolving — and his is a rosy view
of the future of the medium. 

“I truly believe that AI-generated content will not only help us with our jobs
as artists and designers, but it will give us the opportunity to create
completely new forms of art,” he says.  

 


READ MORE: WELCOME TO THE NEW CREATIVE ECONOMY



Tags Megatrends / Graphic Arts / Technology and Innovation Posted In Arts &
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