Science and Technology

Science and Technology

Artificial Intelligence or Real? Exposing the Digital Duplicate

distinguish between an artificial intelligence

Can you distinguish between an artificial intelligence-generated phony and a real face?

Earlier this month, you might have come across ThisPersonDoesNotExist.com, a website that uses artificial intelligence (AI) to generate astonishingly realistic but entirely fake faces. Now, meet its sequel: WhichFaceIsReal.com. This new site not only challenges you to distinguish AI-generated fakes from genuine faces but also aims to educate the public on the implications of AI technology.

Spot the Real Face: The Challenge

WhichFaceIsReal.com invites users to test their perception skills by choosing between two faces: one real, one AI-generated. Just visit the site and click on the face you believe belongs to a real person. It’s an engaging way to see just how convincing AI can be in creating lifelike human faces.

Educational Purpose

But there’s more to WhichFaceIsReal.com than just a fun challenge. The site was created by Jevin West and Carl Bergstrom, professors at the University of Washington who study how information spreads through society. Their goal is to raise awareness about the rise of AI-generated fakes and the potential risks they pose to public trust.

“When a new technology like this emerges, the most dangerous period is when it’s in use but the public isn’t fully aware of it,” Bergstrom tells The Verge. “That’s when it can be most effectively misused.” West adds, “We want to educate people, to make them aware of this technology, much like the awareness that eventually spread about Photoshopping images.”

distinguish between an artificial intelligence

How AI Creates Fake Faces

Both ThisPersonDoesNotExist.com and WhichFaceIsReal.com rely on a machine learning technique known as a generative adversarial network, or GAN. GANs work by analyzing extensive data—in this case, countless portraits of real people—to learn and replicate the patterns found in genuine faces.

The key to GANs' effectiveness lies in their self-assessment mechanism. One part of the network generates a face, while another part compares it to the real data. If the system detects discrepancies, it sends the generator back to improve its work. This process is akin to a rigorous art teacher who won’t accept a portrait until every detail is perfectly accurate. The result is AI that excels at creating faces indistinguishable from those of real people.

Understanding the Risks and Staying Informed

As AI technology continues to advance, the ability to create hyper-realistic fake images will only improve. This raises important questions about the potential misuse of such technology in spreading misinformation and eroding trust in visual evidence.

WhichFaceIsReal.com serves as both a fascinating challenge and a crucial educational tool. By familiarizing yourself with the capabilities of AI in generating fake images, you become better equipped to critically assess visual information in our increasingly digital world.

Explore WhichFaceIsReal.com today, test your skills, and learn more about the incredible—and sometimes unsettling—world of AI-generated faces. This awareness is a vital step in navigating the complex landscape of modern information.


Try the Challenge

Visit WhichFaceIsReal.com and see if you can spot the real face. It’s not just a test of your observational skills, but also a way to stay informed about the latest developments in AI technology and its implications for society.

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