| | | | | | THE WEEKLY NEWSLETTER OF AIM. Sunday, Nov 26, 2023 | Was this email forwarded to you? Sign up here By Amit Naik | | | |
A lot of you might argue that deepfakes spread misinformation, have the potential to ruin the reputation of individuals and organisations, and are a threat to democracy. In short, the technology does more harm than good, and is getting better each day.
Agreed. Mainstream media, too, is going ahead with this narrative, spreading fear around deepfake and blaming social media and tech companies for the menace. The Indian government, which aligns with this view, has devised a so-called ‘clear, actionable plan’ to address the challenges posed by deepfake.
While everyone's at it, let’s pause for a minute and talk about the ‘bright side of deepfake’ and why it should not be over-regulated. | | | |
So far, deepfakes have found actual use cases in movies and ads, mostly assisting in video editing and production. Some of the notable examples include Shah Rukh Khan’s My Ad - Cadbury campaign, Salman Khan’s double role - Pepsi ad, and Ayushman Khurrana’s latest ad with Wakefit, where the actor was showcased as a child with the help of deepfake. This ain’t new. Ten years ago, after the death of Hollywood actor Paul Walker, the team used deepfake to complete the Fast & the Furious 7 movie.
Besides movies and entertainment, deepfake also finds use cases in healthcare. In a 2018 study conducted by NVIDIA, Mayo Clinic, and MGH & BWH Center for Clinical Data Science, they used deepfake to improve AI diagnostic accuracy by supplementing rare abnormality images with synthetic ones. It can also help improve the performance of self-driving cars and autonomous vehicles. The list goes on.
Understanding Deepfake Unlike photoshopped images and videos, which a large majority of people can now naturally identify flaws in, deepfakes are capable of creating a much more realistic, immersive, and impactful experience. Below is a glimpse of the Spanish AI-generated model, Aitana Lopez, created by the agency called The Clueless, which already earns nearly INR 3 lakh per month. | | | |
“The tools for creating deepfakes will just get better and better in the future. They will get so good that it will be impossible to detect whether this was an original or fake,” said Stanford University professor and computer scientist Maneesh Agrawala, in an exclusive interview with AIM.
So, what now? From a user standpoint, when using tools to manipulate videos, two things need to be considered – the audience should be made aware of the manipulated video, and consent must be obtained from the actor in the manipulated videos. The same holds for images as well, and it becomes essential to have AI-generated labels or watermarkings.
How about developing a tool to detect deepfakes? “Such tools are not perfect. But we have algorithms and techniques to find those imperfections,” shared Agrawala.
He said that the emotions that forced the mouth to close often are not well reproduced by some tools. “That can work to some extent, but they are not foolproof,” he added.
To solve this problem, he, and his team at Stanford, have been working on developing a tool that considers lip movement around certain phonemes, where they were focusing on the visemes associated with words having the sound M (mama), B (baba), or P (papa), in which the mouth must completely close in pronouncing these phonemes.
Recently, IEEE researchers unveiled NPVForensics, which helps accurately detect deepfakes and outperforms state-of-the-art methods.
Regulating deepfake needs a delicate balance
While government supervision can prevent misuse and reduce ethical concerns, tightening the noose around deepfakes could hinder technological advancement and beneficial applications.
It’s time the Indian government proactively invested in developing models and algorithms that can detect deepfakes, instead of taking reactive measures, which are often easily bypassed or broken. | | | |
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