Deepfake

Deepfake is fake content that synthesizes the faces and voices of real people using AI. It has become a tool for fraud and disinformation and is subject to regulation.

Deepfake is a fake image, video, or voice created by synthesizing the face or voice of a real person using AI. It has become so sophisticated that it is difficult to distinguish it from the real thing, such as videos of celebrities saying things they did not say or voice phishing calls imitating a family member's voice.

It originally started out as research on facial synthesis technology, but it also has positive uses such as movie special effects and dubbing. However, as cases of abuse for pornography synthesis, financial fraud, and election disinformation are rapidly increasing, countries around the world are introducing regulations containing punishment and labeling obligations, and Korea has also strengthened punishment for deepfake sex crimes.

Detection technology is also advancing, but the cat-and-mouse fight with creation technology continues. As we live in an era where we must be suspicious of both visible images and audible voices, an individual's ability to discern media has become important.

✅ Why it matters

• It reminds us that we live in an age where we cannot blindly trust video and audio.
• Helps us prepare for new fraud methods such as voice phishing in advance.
• It serves as a background for understanding regulations and platform policy news in each country.

⚠️ Limits and debates

• Damage from abuse such as sexual crimes, fraud, and false information is increasing rapidly
• It is difficult for detection technology to keep up with the pace of development of generation technology
• This is creating a problem of trust breakdown where even real videos are suspected of being fake.