How Deepfakes Are Being Used Against Students and Staff
Deepfakes are driving a rise in “sextortion.”
“Kids are sending out a picture to somebody, and that picture gets converted into something it wasn’t. Now they’re saying, ‘Hey, pay this or I’m going to tell all your friends and family,’” says Jennifer Duer, executive vice president of product at Lightspeed Systems.
Faculty and staff are also being victimized.
“Students are taking pictures of staff members and using AI to make it look like staff members did something inappropriate,” she says. “That causes investigations and staff members getting suspended. It causes a lot of administrative burden for the school and also distress for that staff member and that community.”
Beyond just time and trouble, deepfake cyberbullying can become a legal issue.
The Legal Landscape: State Laws, School Liability and Student Privacy
The federal government recently enacted the Take It Down Act, which criminalizes the nonconsensual online publication of intimate visual depictions, including AI-generated deepfakes. Most states now have similar legislation in place.
Many schools are still catching up with the specific language of these laws.
“At the school level, there is usually no specific deepfake policy,” says Teddy Hartman, senior director of privacy and data policy at GoGuardian. “But most school systems do have responsible use and cyberbullying policies in place. Those still work, even with this very extreme and graphic form of cyberbullying.”
Given the risk of civil liability, schools need to get out ahead of this.
“Are parents going to sue the school if this happens on school property, and their student is being cyberbullied? There are a lot of things for them to think through,” Duer says.
Deepfake Detection Capabilities and Limits
There are off-the-shelf deepfake detection tools available — tools that leverage the power of AI to analyze images and flag suspect content — but they have their limitations.
“Some hit a pretty good benchmark in the 90%, but it’s not something you can fully rely on,” Duer says. “AI is getting better at tricking those. It used to have telltale signs, where somebody had an extra finger or weird-looking teeth. But now they look really realistic.”
More general detection and prevention tools can help here. At GoGuardian, for example, “a visual nudity detection system can detect nude images dynamically,” says Brian Larkin, director of product management. The algorithms automatically block that content, whether it’s real or a deepfake, “and it’s not going to be accessible on school-issued devices.”
Lightspeed’s solutions can help as well, by detecting explicit images and alerting the school. An anonymous reporting tool “gives students a way to raise their hand and say, ‘This is going on, and I don’t think it’s right,’” Duer says.
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