
The rise of artificial intelligence (AI) technology has brought great convenience to our daily lives, yet it also presents serious challenges. Among the most worrying concerns are deepfake scams, a new form of digital trickery.
The term “deepfake” is a mix of “deep learning” — an advanced AI method — and “fake”. This technology is trained using huge amounts of data, including pictures and recordings of human faces and voices. By studying this information, AI models can learn to perfectly copy a person’s facial expressions, body language, and tone of voice. With as little as five seconds of someone’s speaking, apps can now produce a video or sound clip that appears surprisingly real.
But the fast growth of deepfake tech has given rise to criminal activities. The old saying “seeing is believing” may no longer be true. Fraudsters now use these tools to create believable content in which people seem to say or do things that never happened.
Deepfake tricks generally fall into several groups. In investment frauds, scammers might create a video of a well-known expert supporting a false platform to steal money. Romance scams involve building false online profiles with AI-made faces to win trust and then request money. There are also emergency tricks, where a panicked call seemingly from a relative asks for immediate payment due to a sudden accident. Besides, staff imitation has become common, with fraudsters copying senior workers to get around security and reach company accounts.
Luckily, there are ways to protect ourselves from these technical tricks. During a video call, watch closely for unusual eye movements or lighting that does not seem quite right around the face. A simple test is to ask the person on screen to move a finger slowly across their face; in a deepfake, the image will often twist or become unclear. Listen carefully for any mismatch between mouth shapes and the spoken sounds, or unusual stops during speech.