NEW YORK — Countless artists have taken inspiration from “The Starry Night” since Vincent Van Gogh painted the swirling scene in 1889.
Now artificial intelligence systems are doing the same, training themselves on a vast collection of digitized artworks to produce new images you can conjure in seconds from a smartphone app.
The images generated by tools such as DALL-E, Midjourney and Stable Diffusion can be weird and otherworldly but also increasingly realistic and customizable — ask for a “peacock owl in the style of Van Gogh” and they can churn out something that might look similar to what you imagined.
But while Van Gogh and other long-dead master painters aren’t complaining, some living artists and photographers are starting to fight back against the AI software companies creating images derived from their works.

Markus Schreiber, Associated Press
Artist Refik Anadol describes his work inside the Davos Congress Center on Jan. 17 in Davos, Switzerland.
Two new lawsuits — one this week from the Seattle-based photography giant Getty Images — take aim at popular image-generating services for allegedly copying and processing millions of copyright-protected images without a license.
Getty said it has begun legal proceedings in the High Court of Justice in London against Stability AI — the maker of Stable Diffusion — for infringing intellectual property rights to benefit the London-based startup’s commercial interests.
Another lawsuit in a U.S. federal court in San Francisco describes AI image-generators as “21st-century collage tools that violate the rights of millions of artists.” The lawsuit, filed on Jan. 13 by three working artists on behalf of others like them, also names Stability AI as a defendant, along with San Francisco-based image-generator startup Midjourney, and the online gallery DeviantArt.
The lawsuit alleges that AI-generated images “compete in the marketplace with the original images. Until now, when a purchaser seeks a new image ‘in the style’ of a given artist, they must pay to commission or license an original image from that artist.”
Companies that provide image-generating services typically charge users a fee. After a free trial of Midjourney through the chatting app Discord, for instance, users must buy a subscription that starts at $10 per month or up to $600 a year for corporate memberships. The startup OpenAI also charges for use of its DALL-E image generator, and Stability AI offers a paid service called DreamStudio.
Stability AI said in a statement that “Anyone that believes that this isn’t fair use does not understand the technology and misunderstands the law.”
In a December interview with The Associated Press, before the lawsuits were filed, Midjourney CEO David Holz described his image-making service as “kind of like a search engine” pulling in a wide swath of images from across the internet. He compared copyright concerns about the technology with how such laws have adapted to human creativity.
“Can a person look at somebody else’s picture and learn from it and make a similar picture?” Holz said. “Obviously, it’s allowed for people and if it wasn’t, then it would destroy the whole professional art industry, probably the nonprofessional industry, too. To the extent that AIs are learning like people, it’s sort of the same thing and if the images come out differently then it seems like it’s fine.”
The copyright disputes mark the beginning of a backlash against a new generation of impressive tools — some of them introduced just last year — that can generate new visual media, readable text and computer code on command.
They also raise broader concerns about the propensity of AI tools to amplify misinformation or cause other harm. For AI image generators, that includes the creation of nonconsensual sexual imagery.

JOHN MINCHILLO, ASSOCIATED PRESS
A visitor looks at artist Refik Anadol's "Unsupervised" exhibit at the Museum of Modern Art on Jan. 11 in New York. The new AI-generated installation is meant to be a thought-provoking interpretation of the New York City museum's prestigious collection.
Some systems produce photorealistic images that can be impossible to trace, making it difficult to tell the difference between what’s real and what’s AI. And while some have safeguards in place to block offensive or harmful content, experts fear it’s only a matter of time until people use these tools to spread disinformation and further erode public trust.
“Once we lose this capability of telling what’s real and what’s fake, everything will suddenly become fake because you lose confidence of anything and everything,” said Wael Abd-Almageed, a professor of electrical and computer engineering at the University of Southern California.
As a test, the AP submitted a text prompt on Stable Diffusion featuring the keywords “Ukraine war” and “Getty Images.” The tool created photo-like images of soldiers in combat with warped faces and hands, pointing and carrying guns. Some of the images also featured the Getty watermark, but with garbled text.

John Minchillo, Associated Press
Visitors look at artist Refik Anadol's "Unsupervised" exhibit at the Museum of Modern Art on Jan. 11 in New York.
AI can also get things wrong, like feet and fingers or details on ears that can sometimes give away that they’re not real, but there’s no set pattern to look out for. Those visual clues can also be edited. On Midjourney, users often post on the Discord chat asking for advice on how to fix distorted faces and hands.
For all the backlash, there are many people who embrace the new AI tools and the creativity they unleash. Some use them as a hobby to create intricate landscapes, portraits and art; others to brainstorm marketing materials, video game scenery or other ideas related to their professions.
There’s plenty of room for fear, but “what can else can we do with them?” asked the artist Refik Anadol this week at the World Economic Forum in Davos, Switzerland, where he displayed an exhibit of climate-themed work created by training AI models on a trove of publicly available images of coral.
At the Museum of Modern Art in New York, Anadol designed “Unsupervised,” which draws from artworks in the museum’s prestigious collection — including “The Starry Night” — and feeds them into a digital installation generating animations of mesmerizing colors and shapes in the museum lobby.
The installation is “constantly changing, evolving and dreaming 138,000 old artworks at MoMA’s archive,” Anadol said. “From Van Gogh to Picasso to Kandinsky, incredible, inspiring artists who defined and pioneered different techniques exist in this artwork, in this AI dream world.”
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Amazon’s Alexa could soon mimic voices of dead relatives
Stanisic Vladimir // Shutterstock
It’s a jungle out there—few places so much so as the world of “smart” advertising.
There, marketing geniuses have developed increasingly sophisticated algorithms that take all the information gathered about you online or from your phone and piece together a customer profile that may include everything from your favorite pair of socks to your children’s names.
Analyzing current market practices, Wicked Reports explored how artificial intelligence, or AI, can be wielded to gather data and make sales predictions across the internet. Some techniques you may know, such as persistent cookies that turn your computer into a ping hub for the websites you visit. Others are much more sophisticated, compiling all of your characteristics by analyzing what you’ve bought in the past, what you’ve put in your cart and abandoned, and what you’ve searched for. From there, advertisers can even make a version of similar customers to market to them as well.
The digital advertising industry is expected to crest $20 billion in 2022. That’s far from enough to crack the top 10 biggest industries in the U.S., but it’s a substantial amount of money—particularly when compared to the big-ticket ad buys of the past in splashy magazine spreads. Companies today are more eager than ever to spend what it takes to bring in ideal customers.
Continue reading to discover some of the tactics AI uses to predict buying behaviors.

Stanisic Vladimir // Shutterstock
It’s a jungle out there—few places so much so as the world of “smart” advertising.
There, marketing geniuses have developed increasingly sophisticated algorithms that take all the information gathered about you online or from your phone and piece together a customer profile that may include everything from your favorite pair of socks to your children’s names.
Analyzing current market practices, Wicked Reports explored how artificial intelligence, or AI, can be wielded to gather data and make sales predictions across the internet. Some techniques you may know, such as persistent cookies that turn your computer into a ping hub for the websites you visit. Others are much more sophisticated, compiling all of your characteristics by analyzing what you’ve bought in the past, what you’ve put in your cart and abandoned, and what you’ve searched for. From there, advertisers can even make a version of similar customers to market to them as well.
The digital advertising industry is expected to crest $20 billion in 2022. That’s far from enough to crack the top 10 biggest industries in the U.S., but it’s a substantial amount of money—particularly when compared to the big-ticket ad buys of the past in splashy magazine spreads. Companies today are more eager than ever to spend what it takes to bring in ideal customers.
Continue reading to discover some of the tactics AI uses to predict buying behaviors.

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Amazon’s Alexa could soon mimic voices of dead relatives
picture alliance // Getty Images
You may know about cookies: tiny text files that websites deposit on your computer as a way to track online behavior.
When you visit websites from Europe, for example, a law there mandates that you click through a cookie agreement that’s much more transparent than in the U.S. There are session cookies lasting one browsing “session” (until you restart your computer or browser) and persistent cookies that stay until you delete them. Think of a cookie as a waving arm each time you visit the same website. Together, they form a heat map of how often and when you visit every website in your browsing history. They can even flag your presence to other websites as a way to combine your data.
picture alliance // Getty Images
You may know about cookies: tiny text files that websites deposit on your computer as a way to track online behavior.
When you visit websites from Europe, for example, a law there mandates that you click through a cookie agreement that’s much more transparent than in the U.S. There are session cookies lasting one browsing “session” (until you restart your computer or browser) and persistent cookies that stay until you delete them. Think of a cookie as a waving arm each time you visit the same website. Together, they form a heat map of how often and when you visit every website in your browsing history. They can even flag your presence to other websites as a way to combine your data.
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Amazon’s Alexa could soon mimic voices of dead relatives
Anna Hoychuk // Shutterstock
User characteristics, and something called demographic segmentation, is a key way online advertising targets you. User characteristics are any of your qualities, from your gender and age to what car you drive and the pets you own. These user characteristics lead to the advertising concept of demographic segmentation, in which companies can buy lists of really specific people.
Are you a 25-year-old white man with one dog, a full-time job as an auto tech, and an apartment rental in a “transitional” neighborhood? We have just the plaid shirt for you.
Anna Hoychuk // Shutterstock
User characteristics, and something called demographic segmentation, is a key way online advertising targets you. User characteristics are any of your qualities, from your gender and age to what car you drive and the pets you own. These user characteristics lead to the advertising concept of demographic segmentation, in which companies can buy lists of really specific people.
Are you a 25-year-old white man with one dog, a full-time job as an auto tech, and an apartment rental in a “transitional” neighborhood? We have just the plaid shirt for you.
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Amazon’s Alexa could soon mimic voices of dead relatives
mhong84 // Shutterstock
If you’ve used GPS in your smartphone or any of the hyperlocal dating apps, you’ve leveraged location data to your advantage—at least for now.
How does your phone know where you are? Cellphone towers ping your phone when you’re nearby. In your home, your Wi-Fi network is likely hardcoded with your location. That’s also true of any Wi-Fi network you hop into or onto during your errands, at school, at work, and so forth. After that, GPS can pinpoint your phone to an alarmingly small area as you carry it around, so not just in your home but in one corner of one room.
mhong84 // Shutterstock
If you’ve used GPS in your smartphone or any of the hyperlocal dating apps, you’ve leveraged location data to your advantage—at least for now.
How does your phone know where you are? Cellphone towers ping your phone when you’re nearby. In your home, your Wi-Fi network is likely hardcoded with your location. That’s also true of any Wi-Fi network you hop into or onto during your errands, at school, at work, and so forth. After that, GPS can pinpoint your phone to an alarmingly small area as you carry it around, so not just in your home but in one corner of one room.
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Amazon’s Alexa could soon mimic voices of dead relatives
Gorodenkoff // Shutterstock
Some items on this list are not very surprising, or we’re used to being told about them so they don’t seem as insidious and scary as they once did. But people are likely still surprised by the depths that companies will go to in order to better advertise to you. Your favorite clothing store, for example, might put together a complete data “picture” of you: what you’ve purchased from them, what size you shop for, where your address is, and more. Then they can reverse engineer someone just like you and buy a demographically matching list.
Anything can be filtered until just the exact desired customer base remains, and then they buy the ads.
Gorodenkoff // Shutterstock
Some items on this list are not very surprising, or we’re used to being told about them so they don’t seem as insidious and scary as they once did. But people are likely still surprised by the depths that companies will go to in order to better advertise to you. Your favorite clothing store, for example, might put together a complete data “picture” of you: what you’ve purchased from them, what size you shop for, where your address is, and more. Then they can reverse engineer someone just like you and buy a demographically matching list.
Anything can be filtered until just the exact desired customer base remains, and then they buy the ads.
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Amazon’s Alexa could soon mimic voices of dead relatives
Habichtland // Shutterstock
How much do you know about your IP address? Many of us are old enough to remember a time when connecting to the internet required knowing a specific IP address and typing it into our PC settings.
Today, the router you likely have in your home has a hard-coded IP address whose number values reflect where you are as well as which “node” you have on your local network. That information may be for sale to different companies because, with the right technology, they can use some IP addresses in order to infer the rest—and guess where you live. Apple is among the tech companies pushing back on IP targeting of this nature by masking IP addresses in its proprietary browser Safari.
This story originally appeared on Wicked Reports and was produced and distributed in partnership with Stacker Studio.
Habichtland // Shutterstock
How much do you know about your IP address? Many of us are old enough to remember a time when connecting to the internet required knowing a specific IP address and typing it into our PC settings.
Today, the router you likely have in your home has a hard-coded IP address whose number values reflect where you are as well as which “node” you have on your local network. That information may be for sale to different companies because, with the right technology, they can use some IP addresses in order to infer the rest—and guess where you live. Apple is among the tech companies pushing back on IP targeting of this nature by masking IP addresses in its proprietary browser Safari.
This story originally appeared on Wicked Reports and was produced and distributed in partnership with Stacker Studio.