The question “What is deepfake?” has become part of everyday conversations—even among couples scrolling through TikTok at home. We’re increasingly experiencing that the issue of deepfakes isn’t just for tech circles anymore: this AI-based, hyper-realistic form of deception has infiltrated everything from social media to political campaigns. In short, it’s become part of our lives.
Deepfake technology might seem fascinating at first glance, but in the wrong hands, it can have serious consequences. Like any technology. A single face, a single voice, or even a single sentence can be enough to place someone in an entirely fictional reality against their will. But today, we’ll go beyond the obvious.
Let’s dive deep into the topic—because this same technology can also make it possible for Christopher Columbus himself to tell us about his discoveries.

What is deepfake and how does it work?
The word deepfake comes from a blend of deep learning and fake. It refers to a form of artificial intelligence capable of manipulating videos, images, or audio recordings. Through deep learning, algorithms learn how a particular person moves, speaks, and behaves—then use that information to recreate the person in a completely new context.
In the early days, this required serious hardware, but now the technology is accessible through simple apps like Reface, FaceSwap, or Zao.
When It’s Fascinating – The Positive Potential of the Technology
Deepfake is not inherently evil. It can serve many creative or supportive purposes.
Film industry: actors brought back to life
Hollywood was quick to embrace deepfake’s potential. Some notable examples:
- Carrie Fisher was digitally resurrected in Star Wars: Rogue One, despite having passed away before filming.
- Paul Walker’s character was completed in Fast & Furious 7 using his brother’s movements and deepfake tech.
- Robert De Niro, Al Pacino, and Joe Pesci were digitally de-aged in The Irishman through AI-based facial manipulation.

Music and voice: hologram tours and synthetic voices
- Tupac Shakur and Michael Jackson have performed posthumous hologram concerts using recreated movements and vocals.
- The AI company Forever Voices developed “AI influencers” who answer audience questions in the style of figures like Steve Jobs or Kanye West.
Education: historical figures ‘speak’ live
- At Nottingham Trent University, a pilot project featured Winston Churchill giving a lecture using a fully synthesized voice and video.
- In medical training simulations, virtual patients respond to students’ decisions, enhancing practical experience.
Accessibility: new ways to communicate
These avatars can aid people with disabilities—such as ALS patients—by providing personalized digital faces that replicate expressions and allow for self-expression.
When It Becomes Dangerous – On the Edge of Reality and Trust
Unfortunately, asking “What is deepfake?” almost automatically brings up its many misuses.
Political manipulation and disinformation
- A Barack Obama deepfake speech, created by Jordan Peele for awareness purposes, showed how easily false statements can be put into a public figure’s mouth.
- In 2022, a deepfake video of Ukrainian President Volodymyr Zelensky appeared in which he allegedly urged his army to surrender. Although quickly debunked, it revealed how easily manipulated content can cause political chaos.
- In Taiwan, during an election campaign, the opposition claimed a candidate was targeted using a Ai-generated audio clip.
Babydoll Archi – The AI Influencer Who Never Existed
One of the strangest deepfake scandals involved Babydoll Archi. Read about it here:
Babydoll Archi – The AI-Generated Star Built on a Stolen Identity
With over 1.3 million Instagram followers, this fashion influencer appeared completely real—yet she was created from a single photo using AI. The “creator,” an Indian man, had previously been in a relationship with the real woman and generated hyper-sexualized images of her without permission, monetizing them through sponsorships and paid content. This case set ethical and legal precedents, highlighting how fragile online identity has become in the deepfake era.
Violation of privacy and deepfake pornography
- On Reddit and Telegram, so-called “nudeswap” groups frequently appear—where celebrities’, influencers’, or even ordinary people’s faces are placed into pornographic content.
- A 2023 study revealed that 96% of deepfake videos are adult content, much of which involves unauthorized use of people’s images.
Cybercrime: When the CEO’s Voice Gives an Order
- In 2019, a UK company was tricked into transferring money after deepfake tech replicated the voice of its German parent company’s CEO, who called with an “urgent request.”
- AI-generated voices and video are increasingly used in banking fraud, posing high risks as customers rely on biometric identification.

Detecting Deepfakes: A Technological Arms Race
Security experts and tech giants like Meta, Microsoft, and Google are continuously developing tools to detect deepfakes. These use algorithms to spot irregularities in facial expressions, unnatural blinking, or desynchronized pixels.
Still, it’s a constant race—better detection leads to more sophisticated fakes. AI is competing with itself, both in creation and detection.
Is There a Way Out?
The question is no longer if we can use deepfakes—but how we use them. Ethical and creative use opens huge opportunities. But to get there, we need:
- Legal regulations that penalize abuse;
- Platform-level moderation that removes offensive content immediately;
- User awareness to recognize manipulated media;
- Technological transparency so all AI tools label generated content.
Beyond the Illusion: How Deepfakes Impact—and Empower—Women
While deepfake technology may sound like something distant or overly technical, it’s becoming increasingly relevant in everyday life—especially for women. From AI-generated influencers who set unrealistic beauty standards, to the disturbing rise of non-consensual AI-generated pornography, which disproportionately targets women, the impact is deeply personal. These tools don’t just manipulate media; they shape perceptions, reinforce harmful stereotypes, and in some cases, even compromise personal safety. For women navigating digital spaces—as professionals, content creators, or simply as social media users—understanding how deepfakes work is a form of digital self-defense. It’s not about fearing the technology, but about recognizing when something isn’t real and being empowered to respond.
That said, deepfake technology isn’t inherently bad—it can actually offer powerful opportunities when used responsibly. Think about how much time you can save with a polished, AI-enhanced portrait for your CV, or how confident you might feel in a video presentation subtly improved with the help of smart tools. In education, our daughters can now learn history or science through immersive visual storytelling powered by AI, making learning more engaging and accessible. On the creative front, deepfake-style tools can help bring personal projects to life—whether that’s generating voices for a podcast, animating a story, or building digital characters for a portfolio. The key isn’t to shy away from this technology, but to learn how to use it wisely—for ourselves, for our daughters, and for the future we’re shaping.

FAQ
What exactly is deepfake?
Deepfake is a technology based on artificial intelligence that enables the manipulation of videos, images, or audio recordings. Through deep learning, algorithms learn a person’s facial expressions, voice, and behavior, and then recreate them in entirely new and often fictional contexts.
In which areas is deepfake technology used?
Deepfake technology is used in various industries, including:
-the film industry to digitally resurrect or de-age actors,
– education, where historical figures are brought to life for interactive learning,
– entertainment, such as hologram concerts or virtual influencers,
– and assistive technology, helping people with disabilities communicate using personalized digital avatars.
Why is deepfake considered dangerous?
Deepfake can be dangerous because it undermines trust in visual and audio content. It is frequently used for political disinformation, non-consensual pornographic content, financial fraud, and online impersonation. The ability to convincingly fabricate reality poses serious ethical and security risks.
What can be done to prevent deepfake misuse?
To prevent the misuse of deepfake technology, we need:
– clear legal regulations that define and penalize harmful applications,
– proactive content moderation on social media platforms,
– increased public awareness of how manipulated media works,
– and technological transparency, such as mandatory labeling of AI-generated content.
Can deepfake be used for positive purposes?
Yes, deepfake technology has many beneficial applications. It can be used for creative storytelling in film and media, educational simulations, preserving and presenting historical content, enhancing accessibility for people with disabilities, and more. Like any tool, its impact depends on how it is used.
How can individuals protect themselves from deepfake content?
Individuals can protect themselves by:
– being cautious about videos and audio clips shared online, especially those with shocking content,
– checking the source of the media,
– using reverse image searches or fact-checking tools,
– and staying informed about the latest trends in AI-generated content and detection technologies.
Sources:
- The Impact of Deepfake Technology on Cybersecurity: Threats and Mitigation Strategies for Digital Trust, SSRN, 2025
https://papers.ssrn.com/sol3/papers.cfm?abstract_id=5259359 - Generating a Deepfake Frame, KOME, 2025
https://folyoirat.ludovika.hu/index.php/kome/article/view/7876 - Reckoning With the Rise of Deepfakes – Regulatory Review, 2025
https://www.theregreview.org/2025/06/14/seminar-reckoning-with-the-rise-of-deepfakes/ - Children and Deepfakes, European Parliament EPRS, 2025
https://www.europarl.europa.eu/RegData/etudes/BRIE/2025/775855/EPRS_BRI(2025)775855_EN.pdf - Generative Artificial Intelligence and the Evolving Challenge of Deepfake Detection, MDPI, 2025
https://www.mdpi.com/2224-2708/14/1/17










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