A modified photograph of Katrina Kaif from her next film ‘Tiger 3’ has been doing the rounds on social media in the aftermath of Rashmika Mandanna’s recent viral deepfake video. Katrina was shown in the original photo fighting a Hollywood stuntwoman in a towel. Instead of the towel, Katrina was shown in the photoshopped photograph wearing a low-cut white shirt. Deepfake AI technologies were used to change the picture.
Deepfake technology may readily take photographs of actual individuals and convert them to seem entirely different, which raises worries about Katrina’s changed picture from the ‘Tiger 3’ movie scene. In this case, the photograph depicted her wearing a different dress than she did in the film.
In Rashmika Mandanna’s instance, a deepfake film depicted her in a setting she was never in, potentially harming her reputation and confusing others about what’s genuine and what’s not. The footage showed the well-known actor boarding an elevator. Abhishek Kumar, a journalist and researcher, raised the issue, pushing for a legislative and regulatory framework to solve India’s growing deepfake problem.
Deepfake technology, for those who are unfamiliar, entails the use of powerful artificial intelligence to produce very realistic but sometimes fraudulent digital material. This technique may alter a person’s look and voice in films or audio recordings, making it difficult to differentiate between genuine and edited information.
The original film in Rashmika Mandanna’s video featured Zara Patel, a British-Indian influencer, but her face was digitally changed with that of the actor using deepfake technology. Concerns have been expressed regarding the potential for misuse of such deepfake content, as well as the necessity for legislative steps to fight its spread.
Deepfake is a sort of synthetic media in which a person in an existing image or video is replaced with another person’s likeness using artificial intelligence. While the act of faking information is not new, deepfakes use advanced machine learning and artificial intelligence techniques to edit or synthesize visual and auditory content with a high potential for deception.
Deepfakes are frequently distinguished by artificial facial emotions or movements, such as blinking too frequently or insufficiently, or movements that are excessively stiff or jerky. The eyes can tell you if a video is real or phony. Deepfakes frequently feature blurry or unfocused eyes, or eyes that do not move in sync with the person’s head motions.