Unmasking Deep Fakes: Lessons From Psychology

Unmasking Deep Fakes: Lessons From Psychology

Psychology can teach AI a thing or two about distinguishing deep fakes from real human faces.

AI cybersecurity risks and deepfake scams on the rise

The 2025 AI Security Report details how criminals are harnessing artificial intelligence to impersonate people, automate scams, and attack security systems on a massive scale.

[Digital Daily Reporter Kim Bo-min] As fake videos are being distributed mainly through Telegram, 'eradicating deepfakes' has become a hot topic. As deepfake content that uses the faces of not only celebrities but also family members and acquaintances is becoming more prevalent, voices are growing louder that a way to distinguish between real and fake content is needed. The company that has come up with the answer is LaonSecure. LaonSecure is e…

OpenAI’s Viral Ghibli Trend Might Be a Privacy Minefield, Experts Say

The viral Ghibli-style image trend on ChatGPT has sparked global participation, including from celebrities and brands. However, experts warn of serious privacy risks, as users unknowingly share facial data that may train AI models. With permanent digital footprints, the potential for misuse, like deepfakes or identity theft, raises critical concerns around data control and transparency.

You can 'say' things you never said, 'do' things you never did with just a photo. Deepfakes are blurring the line between real and fake to a dangerous degree.

In the digital age, deepfakes, created through artificial intelligence to manipulate videos, images or audios with alarming realism, pose a growing threat to privacy and media confidence. This technology, based on antagonistic generational networks, can be used both for creative purposes and to propagate misinformation, fraud or identity supplantations, which poses ethical and legal challenges.