Deepfakes are real-looking pictures, audio, and videos created by AI. They are used to alter content without consent to bully or harass someone. Apart from this, deepfakes are also used to generate creative content in the arts and filmmaking. For instance, deepfakes can also be used during elections. Such deepfakes can make the politician say what they never actually said or wanted to say to manipulate the audience. Such videos and pictures can spread misinformation and disinformation.
How Does this Technology Work?
AI uses machine learning and neural networks to create real-time deepfake images or videos. Machine learning enables AI to improve from data patterns and experiences without explicit programming. Various samples with different angles can help the system mimic accurately. On the other hand, neural networks are a type of machine learning that contains interconnected nodes like human brains.
For creating deepfakes, AI gathers a large amount of data including pictures, videos, and audio to mimic the person accurately. The system tries to analyze the data from various perspectives to create a perfect deepfake. The AI is then trained to evaluate the expressions of the targeted person including its features, voice, and other aspects of the face. After analyzing all the data, AI is then provided with the script and gestures to perform and look real.
How to Detect Deepfake Frauds?
Although deepfakes are created with proficiency to fool people some flaws can easily be identified. Some unnatural or robotic movements detect the deepfake. Besides, humans are supposed to blink normally after short intervals. But the AI deepfake fails to do so.
Moreover, deepfakes are unable to give expressions with appropriate muscle movements.
There are specific muscle contractions while smiling or speaking which the AI can not do. Other anomalies like the reflection of light and the improper pixels might detect the spoof.
Furthermore, AI deepfake can not copy the signs of aging accurately including fine lines, wrinkles, and others. Lip-synching is another factor that should be very accurate to mimic. Otherwise, it can easily be identified by the viewers. Lastly, sometimes the background also doesn’t match the picture of a video which can result in deepfake detection.
Creative Implementations of AI-generated Deepfakes
There are several implementations of AI deepfakes in various fields. These can be used for positive and negative purposes. Deepfakes are being used in the film and TV industry. Directors are using this technology to bring the dead people back. Many Celebrity deepfake are being used in the media industry. Advertising has been utilizing this technology in a useful way. Several companies are using deepfakes to promote their stuff to relevant audiences and increase sales.
Moreover, numerous memes are being created by people for creative purposes. Some of the memes using deepfake technology earn fame and go viral. Face swaps are also being used for various purposes. Apart from creativity, this technology is making people harm and inconvenient as well.
Fear and Fascination Among the Users of Deepfakes
As mentioned earlier, deepfakes are being utilized for both negative and positive purposes. They can simultaneously raise feelings of fear and fascination among the audience. When it comes to fun, deepfakes are used to make memes and create fun aspects in the film, TV, and advertising industries.
Besides, with the advancement in this technology, people are using AI deepfake videos to harm others. It is being used to bully or take revenge on someone by swapping their faces and making them utter what they never wanted to say. This has raised the fear of being bullied by using this technology. The fear is genuine because it can affect the reputation of people.
