Deepfakes and the Battle for Truth in the Digital Age

In January 2024, thousands of voters in New Hampshire received a phone call from what sounded exactly like President Joe Biden, telling them not to vote. The president never made that call. The voice was a deepfake: a highly realistic, computer-generated audio file created by artificial intelligence (AI) to mimic a real person.

Because AI learns and improves so quickly, these AI-generated audio, video, and image files are becoming almost impossible to spot. If these programs can trick our own eyes and ears, the basic foundation of truth begins to break apart. This creates a massive problem for society, threatening our elections, financial security, and personal reputations.

However, we are not helpless. A combination of new detection technology, stricter laws, and smarter media consumption habits can help us fight back.

Want to learn more? Read on as we discuss the following:

• How AI software clones reality to create synthetic media

• The real-world threats deepfakes pose to everyday society

• The ongoing technological arms race to detect fake content

• Practical strategies to improve your digital literacy

At the end of this article, you will have the knowledge and tools needed to spot deepfakes and protect yourself from online deception.

How AI clones reality

To understand how to spot a deepfake, you have to know how they are made. Most high-quality deepfakes rely on a type of machine learning called a Generative Adversarial Network, or GAN.

A GAN uses two separate AI programs that work against each other. The first program is called the "generator." Its job is to create fake audio or video. The second program is the "discriminator." Its job is to examine a fake creation and determine whether it is real or synthetic. The generator keeps making slight changes to its fake image until the discriminator can no longer tell the difference between the fake and the real thing.

A few years ago, this process required powerful computers and specialized coding skills; early results featured blurry faces or robotic voices. Today, the technology is available to anyone. Smartphone apps and cheap software allow people to clone voices from a short audio clip or swap faces in a video with a few clicks. The shift from high-tech labs to everyday consumer apps means the volume of synthetic media is exploding.

How deepfakes threaten society

Remember the fake Biden phone call in the introduction? That is just one example of how the rapid spread of AI deepfake technology causes real harm through political disinformation. In an election year, a fake video of a candidate taking a bribe or an AI-generated audio clip making a racist remark can spread across social media in minutes. Even if the media is later proven false, the damage to the person's reputation is often already done.

Deepfakes also create huge financial risks. Criminals use AI voice and video cloning to steal money. A finance worker at a multinational company in Hong Kong attended a video conference call with his chief financial officer and several other colleagues. The worker was instructed to transfer $25 million to a specific account. He followed the orders. It turned out that every other person on the video call was an AI deepfake. The criminals had used public videos of the employees to create real-time digital clones.

Beyond politics and business, AI deepfakes can ruin the lives of both famous and everyday individuals. Between 2023 and 2025, artificial intelligence was used to map the faces of 4,000 celebrities and thousands of private citizens onto explicit videos across major websites. In the United States alone, incidents of this non-consensual AI porn jumped by 464% in just one year. This severe form of digital harassment causes deep emotional distress and destroys personal reputations.

Finally, deepfakes create a problem known as the "liar’s dividend." Because the public knows that AI fakes exist, guilty people can easily deny real evidence. If a corrupt official is caught on tape doing something illegal, they can simply claim the video is an AI-generated fake. When artificial intelligence can fake everything, people stop believing anything.

The arms race of detection

Technology companies and researchers are actively building tools to fight back, like new AI models designed specifically to spot manipulation. These detection programs analyze videos frame by frame, looking for unnatural blinking, missing shadows, or strange pixel patterns that humans cannot see. They also scan audio files to find tiny digital artifacts left behind by AI voice generators.

However, relying only on detection software creates a frustrating loop. Because AI models learn from their mistakes, every time researchers release a better detection tool, deepfake creators use that exact tool to train their own software. The generator learns how the new detector works and figures out how to bypass it, creating an endless game of cat and mouse.

To break this cycle, the technology industry is now focusing on something called "provenance." Instead of trying to catch fakes after they are made, provenance tools prove that a piece of media is real from the moment it is created. Programs embed invisible digital watermarks into images and videos right when the camera clicks. This hidden code travels with the file, telling viewers exactly who created it, when it was made, and if it was altered by artificial intelligence.

Strategies for digital literacy

Technology and watermarks cannot solve the problem entirely. The strongest defense against deepfakes is human skepticism. For instance, when you see a surprising video or hear a shocking audio clip, you need to look for clues. Check the source of the media. Is it coming from a well-known, reputable news organization, or an anonymous social media account? 

You should also look closely at visual details, as deepfakes can struggle with the edges of objects like glasses, hair, or jewelry. Watch for unnatural skin tones, strange blinking patterns, or teeth that look like a solid white block. For audio, listen for a robotic rhythm, a lack of breathing sounds, or background noise that suddenly cuts out.

However, the most effective thing you can do is called lateral reading. Instead of just staring at the suspicious video, open a new browser tab and search for the claim. If a prominent politician actually said something outrageous, multiple reliable news outlets would be reporting on it. If you can only find the claim on one obscure account, it is likely a fake.

The future of truth

The battle for truth in the digital age is far from over. Artificial intelligence will only continue to improve, making deepfakes even harder to detect. As these tools become cheaper and easier to use, the threat to our elections, financial security, and personal privacy will keep growing.

However, society has adapted to new forms of deception before. When photo-editing software like Photoshop first arrived, people panicked that pictures could no longer be trusted as evidence. Over time, we developed a natural skepticism and learned to spot the fakes. We are going through that exact same learning process today with AI audio and video.

While software and watermarks can help, technology alone cannot solve this problem. The ultimate defense against a deepfake is still a critical human mind. By staying alert, pausing before you share a shocking video, and demanding transparency from tech companies, you can protect yourself. Artificial intelligence might be able to clone reality, but it cannot hack our common sense.