In the wake of Rashmika Mandanna's recent viral deepfake video, an edited image of Katrina Kaif from her upcoming film 'Tiger 3' has been making the rounds on social media. In the original picture, Katrina was seen engaged in a towel-clad fight with a Hollywood stuntwoman. However, in the altered image, Katrina was depicted wearing a low-cut white top instead of the towel. The image has been altered using Deepfake AI tools.
Katrina’s altered picture from the 'Tiger 3' movie scene raises concerns because deepfake technology. can easily take images of real people and change them to look completely different. In this instance, the image showed her in a different outfit than what she actually wore in the film.
In Rashmika Mandanna's case, a deepfake video showed her in a situation she was never in, which can damage her reputation and confuse people about what's real and what's fake.The video showcased the popular actor entering an elevator. Abhishek Kumar, a journalist and researcher, brought attention to this issue, calling for a legal and regulatory framework to address the rising deepfake problem in India.
For those unfamiliar with deepfake technology, it involves the use of advanced artificial intelligence to create highly realistic but often deceptive digital content. This technology can manipulate a person's appearance and voice in videos or audio recordings, making it challenging to distinguish between authentic and manipulated content.
In the case of Rashmika Mandanna's video, the original footage featured Zara Patel, a British-Indian influencer, but her face was digitally replaced with that of the actor using deepfake technology. Such deepfake content has raised concerns about its potential for misuse and the need for legal measures to combat its proliferation.
Deepfake is a type of synthetic media in which a person in an existing image or video is replaced with someone else's likeness using AI. While the act of faking content is old, deepfakes leverage powerful techniques from machine learning and artificial intelligence to manipulate or generate visual and audio content with a high potential to deceive.
Deepfakes can often be identified by unnatural facial expressions or movements, such as blinking too often or not enough, or movements that are too stiff or jerky.The eyes are a good indicator of whether a video is real or fake. Deepfakes often have blurry or unfocused eyes, or eyes that don't match the person's head movements.