AI-generated child sex images spawn new nightmare for the web

Thousands of AI-generated child-sex images have been found on forums across the dark web, a layer of the internet visible only with special browsers, with some participants sharing detailed guides for how other pedophiles can make their own creations.

“Children’s images, including the content of known victims, are being repurposed for this really evil output,” said Rebecca Portnoff, the director of data science at Thorn, a nonprofit child-safety group that has seen month-over-month growth of the images’ prevalence since last fall.

“Victim identification is already a needle in a haystack problem, where law enforcement is trying to find a child in harm’s way,” she said. “The ease of using these tools is a significant shift, as well as the realism. It just makes everything more of a challenge.”

The flood of images could confound the central tracking system built to block such material from the web because it is designed only to catch known images of abuse, not detect newly generated ones. It also threatens to overwhelm law enforcement officials who work to identify victimized children and will be forced to spend time determining whether the images are real or fake.

The images have also ignited debate on whether they even violate federal child-protection laws because they often depict children who don’t exist. Justice Department officials who combat child exploitation say such images still are illegal even if the child shown is AI-generated, but they could cite no case in which a suspect had been charged for creating one.

The new AI tools, known as diffusion models, allow anyone to create a convincing image solely by typing in a short description of what they want to see. The models, such as DALL-E, Midjourney and Stable Diffusion, were fed billions of images taken from the internet, many of which showed real children and came from photo sites and personal blogs. They then mimic those visual patterns to create their own images.

The tools have been celebrated for their visual inventiveness and have been used to win fine-arts competitions, illustrate children’s books and spin up fake news-style photographs, as well as to create synthetic pornography of nonexistent characters who look like adults.

But they also have increased the speed and scale with which pedophiles can create new explicit images because the tools require less technical sophistication than past methods, such as superimposing children’s faces onto adult bodies using “deepfakes,” and can rapidly generate many images from a single command.

It’s not always clear from the pedophile forums how the AI-generated images were made. But child-safety experts said many appeared to have relied on open-source tools, such as Stable Diffusion, which can be run in an unrestricted and unpoliced way.

Stability AI, which runs Stable Diffusion, said in a statement that it bans the creation of child sex-abuse images, assists law enforcement investigations into “illegal or malicious” uses and has removed explicit material from its training data, reducing the “ability for bad actors to generate obscene content.”

But anyone can download the tool to their computer and run it however they want, largely evading company rules and oversight. The tool’s open-source license asks users not to use it “to exploit or harm minors in any way,” but its underlying safety features, including a filter for explicit images, is easily bypassed with some lines of code that a user can add to the program.

Testers of Stable Diffusion have discussed for months the risk that AI could be used to mimic the faces and bodies of children, according to a Washington Post review of conversations on the chat service Discord. One commenter reported seeing someone use the tool to try to generate fake swimsuit photos of a child actress, calling it “something ugly waiting to happen.”

But the company has defended its open-source approach as important for users’ creative freedom. Stability AI’s chief executive, Emad Mostaque, told the Verge last year that “ultimately, it’s peoples’ responsibility as to whether they are ethical, moral and legal in how they operate this technology,” adding that “the bad stuff that people create … will be a very, very small percentage of the total use.”

Stable Diffusion’s main competitors, Dall-E and Midjourney, ban sexual content and are not provided open source, meaning that their use is limited to company-run channels and all images are recorded and tracked.

OpenAI, the San Francisco research lab behind Dall-E and ChatGPT, employs human monitors to enforce its rules, including a ban against child sexual abuse material, and has removed explicit content from its image generator’s training data so as to minimize its “exposure to these concepts,” a spokesperson said.

“Private companies don’t want to be a party to creating the worst type of content on the internet,” said Kate Klonick, an associate law professor at St. John’s University. “But what scares me the most is the open release of these tools, where you can have individuals or fly-by-night organizations who use them and can just disappear. There’s no simple, coordinated way to take down decentralized bad actors like that.”

On dark-web pedophile forums, users have openly discussed strategies for how to create explicit photos and dodge anti-porn filters, including by using non-English languages they believe are less vulnerable to suppression or detection, child-safety analysts said.

On one forum with 3,000 members, roughly 80 percent of respondents to a recent internal poll said they had used or intended to use AI tools to create child sexual abuse images, said Avi Jager, the head of child safety and human exploitation at ActiveFence, which works with social media and streaming sites to catch malicious content.

Forum members have discussed ways to create AI-generated selfies and build a fake school-age persona in hopes of winning other children’s trust, Jager said. Portnoff, of Thorn, said her group also has seen cases in which real photos of abused children were used to train the AI tool to create new images showing those children in sexual positions.

Yiota Souras, the chief legal officer of the National Center for Missing and Exploited Children, a nonprofit that runs a database that companies use to flag and block child-sex material, said her group has fielded a sharp uptick of reports of AI-generated images within the last few months, as well as reports of people uploading images of child sexual abuse into the AI tools in hopes of generating more.

Though a small fraction of the more than 32 million reports the group received last year, the images’ increasing prevalence and realism threaten to burn up the time and energy of investigators who work to identify victimized children and don’t have the ability to pursue every report, she said. The FBI said in an alert this month that it had seen an increase in reports regarding children whose photos were altered into “sexually-themed images that appear true-to-life.”

“For law enforcement, what do they prioritize?” Souras said. “What do they investigate? Where exactly do these go in the legal system?”

Some legal analysts have argued that the material falls in a legal gray zone because fully AI-generated images do not depict a real child being harmed. In 2002, the Supreme Court struck down two provisions of a 1996 congressional ban on “virtual child pornography,” ruling that its wording was broad enough to potentially criminalize some literary depictions of teenage sexuality.

The ban’s defenders argued at the time that the ruling would make it harder for prosecutors arguing cases involving child sexual abuse because defendants could claim the images didn’t show real children.

In his dissent, Chief Justice William H. Rehnquist wrote, “Congress has a compelling interest in ensuring the ability to enforce prohibitions of actual child pornography, and we should defer to its findings that rapidly advancing technology soon will make it all but impossible to do so.”

Daniel Lyons, a law professor at Boston College, said the ruling probably merits revisiting, given how the technology has advanced in the last two decades.

“At the time, virtual [child sexual abuse material] was technically hard to produce in ways that would be a substitute for the real thing,” he said. “That gap between reality and AI-generated materials has narrowed, and this has gone from a thought experiment to a potentially major real-life problem.”

Two officials with the Justice Department’s Child Exploitation and Obscenity Section said the images are illegal under a law that bans any computer-generated image that is sexually explicit and depicts someone who is “virtually indistinguishable” from a real child.

They also cite another federal law, passed in 2003, that bans any computer-generated image showing a child engaging in sexually explicit conduct if it is obscene and lacks serious artistic value. The law notes that “it is not a required element of any offense … that the minor depicted actually exist.”

“A depiction that is engineered to show a composite shot of a million minors, that looks like a real kid engaged in sex with an adult or another kid — we wouldn’t hesitate to use the tools at our disposal to prosecute those images,” said Steve Grocki, the section’s chief.

The officials said hundreds of federal, state and local law-enforcement agents involved in child-exploitation enforcement will probably discuss the growing problem at a national training session this month.

Separately, some groups are working on technical ways to confront the issue, said Margaret Mitchell, an AI researcher who previously led Google’s Ethical AI team.

One solution, which would require government approval, would be to train an AI model to create examples of fake child-exploitation images so online detection systems would know what to remove, she said. But the proposal would pose its own harms, she added, because this material can come with a “massive psychological cost: This is stuff you can’t unsee.”

Other AI researchers now are working on identification systems that could imprint code into images linking back to their creators in hopes of dissuading abuse. Researchers at the University of Maryland last month published a new technique for “invisible” watermarks that could help identify an image’s creator and be challenging to remove.

Such ideas would probably require industry-wide participation for them to work, and even still they would not catch every violation, Mitchell said. “We’re building the plane as we’re flying it,” she said.

Even when these images don’t depict real children, Souras, of the National Center for Missing and Exploited Children, said they pose a “horrible societal harm.” Created quickly and in massive amounts, they could be used to normalize the sexualization of children or frame abhorrent behaviors as commonplace, in the same way predators have used real images to induce children into abuse.

“You’re not taking an ear from one child. The system has looked at 10 million children’s ears and now knows how to create one,” Souras said. “The fact that someone could make 100 images in an afternoon and use those to lure a child into that behavior is incredibly damaging.”