Deepfakes are fake or AI-generated images or videos that can be used for various purposes. Their functions include entertainment and creativity, and they might be used to bully someone. This technology works in many movies and animations to add an extra layer of creativity.
Moreover, this technology was developed somewhere in 2017 and works on the principles of deep learning. It helps the system to learn and rectify itself from the existing datasets. Face swapping also comes under the category of fake match. It became common all over the world and by using it, people started swapping faces and making celebrity deepfakes.
What are the Techniques and How it Works?
These are created on the mechanism of machine learning AI. Before the creation of false faces, the system gathers a large amount of data including images and videos of that particular person. The system then uses several images and videos and create something new. Once the AI learns everything about the person, it is ready to create images and videos of anyone doing something that has never been done before. In addition, AI can create fake images using different technologies such as:
-
Face Swap
AI can swap the face of one person with another one. It can also match the expressions and facial features of that individual to make the image look real.
-
Voice Matching
The voice can also be deepfaked by using AI. It can mimic the voice according to the face of an individual and can easily make them utter whatever they want.
-
Lip-Synching
Al can make the fake person’s lips sync with the video. To make it real, the lips can be easily synced with the words that the fake person is supposed to say. One can make the fake person say what they never want to say.
Risks Whilst Using This Technology
It is an advanced technology that is being used in many fields like arts, and entertainment, and also for some negative purposes. Still, it has some risks associated with it that can make the AI technology fail in terms of creating a real deepfake.
- Misinformation can be spread by creating false faces. Apart from creativity, the deepfake can be created to mislead the audience. For instance, if a false image of a politician is created then it will be made to say that the real politician will never say. The other case can be that during elections, it can easily be utilized to get votes from the audience.
- Creating a fake videos without permission of that person will lead to mistrust of media and technology. For instance, a fake video can be created to use a person to take revenge or a large amount of money from someone. Also, it can be used to make the person do what he can never do in real-time.
- Consent is also very crucial when it comes to making a deepfake. These are not always used for negative purposes, but someone might use the fake video or image to bully someone without consent. This will create a fuss among people.
How Deepfakes Can Be Detected?
Deepfake detection be identified easily by observing certain actions in the video. Unusual movements of the face or unusual muscle movements can be noticed in the fake video. The robotics movements can be effortlessly observed in a fake video.
In addition, if the edges of the face in a video are blurry and unclear, then it is a deepfake. Because there are no such issues with the authentic video of a person. Besides, lighting can also be used to detect a fake. Imbalance lighting in the whole video can detect the spoof. If there is darkness on one side and the other side is unusually bright then it is unreal.
Moreover, if the eyes in a fake video don’t blink properly or naturally then it will be a fake person in a video. Our eyes make quick moves to watch here and there but the fake video will not show such natural signs.
Furthermore, a fake video can be detected by noticing the voice of an individual. The words uttered will not be synced with the lips. Also while smiling, the muscles will not move naturally as they move in a real video. Some static or unnatural facial movements can easily detect the spoof in a video. Lastly, deepfake prevention is crucial to avoid negative functioning.
