How are Deep fakes created?
Deep fakes are a type of artificial intelligence and machine learning-based media in which the resemblance of one person is substituted for another’s in a picture or video using sophisticated algorithms. With the use of this technology, phony films or photos that are incredibly lifelike may be produced that are often hard to tell apart from the real ones.
Deep learning is the process used to produce deep fake videos. In order to enable a machine learning model to comprehend and mimic the targeted person’s mannerisms, speech patterns, and facial expressions, deep learning entails training the model using a sizable dataset of pictures and videos of the subject. After the model is trained, it may produce new material by essentially switching faces in a video by superimposing the targeted person’s face onto the body of another person.
Rashmika Mandana Controversy
The Rashmika Mandana deepfake issue revolves around an event involving prominent Indian actress Rashmika Mandana in which modified recordings were generated using deepfake technology. Her face was placed on sexual content in this instance, giving the impression that she was participating in improper or explicit behaviors when in fact she wasn’t. Social media users were upset and the actress’s reputation suffered as a result of these phony videos.
They also emphasize the necessity of preventive measures and legislation to combat the misuse of such technologies, as well as the significance of awareness and vigilance in distinguishing legitimate media from modified or fraudulent information.
Such examples illustrate the potential for deepfake technology to be abused to create defamatory or damaging content, resulting in defamation, harassment, and invasion of privacy. They also emphasize the necessity of preventive measures and legislation to combat the misuse of such technologies, as well as the significance of awareness and vigilance in distinguishing legitimate media from modified or fraudulent information.