What is deepfake technology? How it works | Deepfake technology Al programme | Science Dojo

 

What do you know about deepfake technology?

Deepfake technology, also known as "deep learning-based face synthesis," is a method of using artificial intelligence (AI) to generate highly realistic videos and images of people doing and saying things that they never actually did. The technology is based on deep learning algorithms, which are able to analyze and mimic the patterns and features of real human faces and speech.

What you need to know! Deepfake technology? How does it work? Who has fallen victim to it so far?

Deepfake technology has been used in a variety of ways, including in the creation of realistic digital avatars for video games and virtual reality experiences, as well as in the production of movies and TV shows. However, the technology has also raised a number of ethical and legal concerns, particularly when it is used to create fake videos and images of real people without their consent.

One of the most concerning aspects of deepfake technology is the potential for it to be used to spread misinformation and propaganda. For example, deepfake videos could be used to make it appear as though a political leader is making a statement or taking a particular action, when in reality they never did. This could be used to manipulate public opinion and influence elections.

Another potential issue with deepfake technology is the potential for it to be used to create revenge porn or other forms of non-consensual pornography. In this scenario, a deepfake video could be created of someone in a compromising or sexual situation, even if they never consented to being recorded in such a way. 96% of the work done so far with Deep Fake technology is pornography. Using a picture of you they can replace it with a naked human face perfectly. It has ruined the lives of more than 1 lakh girls so far. Despite these concerns, deepfake technology also has the potential to be used for positive purposes. For example, it could be used to create realistic digital avatars of historical figures, which could be used in educational settings to bring history to life. Additionally, deepfake technology could be used to create realistic digital doubles of actors, allowing them to continue working long after they've retired or passed away.

Overall, deepfake technology is a powerful and rapidly advancing field that has the potential to be used for both good and bad purposes. It's important for society to be aware of the potential risks and work to mitigate them, while also exploring the potential benefits and finding ways to harness the technology for positive purposes.

As the technology advances, it is important for governments, companies and individuals to be aware of the potential risks and work to mitigate them, while also exploring the potential benefits and finding ways to harness the technology for positive purposes. The most important thing is for society to be aware of the potential impact of deepfake technology and develop regulations and guidelines to govern its use. This can include laws criminalizing the creation and distribution of non-consensual deepfake videos, as well as industry-wide standards for labelling and identifying deepfakes. Additionally, research and development in the field of deepfake detection and counter-measures are crucial in order to mitigate the potential harms of deepfake technology.

How does DeepFake actually work?

Deepfake refers to fake video or audio. Although it looks real on the surface, it is not real at all. The definition of deepfake lies within the name itself. Deep means deep and fake means fake. That is, deepfake refers to something that has been faked very deeply. Machine learning is the main weapon for creating deepfake videos. One technique of machine learning is called "General Adversarial Network" (GAN). Through this, first, thousands of pictures of different expressions of a person are collected. Those images can then be processed through machine learning to create a simulation of all his facial expressions. Recent advances in artificial intelligence have made it possible to imitate human voices exactly. These videos and audios are processed in various ways to create a fake video that is very difficult to detect with the naked eye.

Our line of sight has a period of 0.1 second. That is, any scene that happens in less than 100 milliseconds will not catch our eyes. Artificial intelligence generated videos undergo various transformations in less time. So it is not possible for the naked eye to verify the original and the fake.

Who has been a victim of deepfake technology?

Deepfake technology has been used to create fake videos and images of a wide range of people, including politicians, celebrities, and private individuals. Some notable examples of people who have been targeted by deepfake technology include:

Former US President Barack Obama: In 2018, a deepfake video was created that made it appear as though Obama was calling Donald Trump a "dipshit." The video was widely shared on social media and sparked discussions about the potential impact of deepfake technology on politics.

Actress Gal Gadot: In 2018, a deepfake video was created that superimposed Gadot's face onto a pornographic video. The video was shared on a number of adult websites and sparked discussions about the potential for deepfake technology to be used to create non-consensual pornography.

Actress Scarlett Johansson: In 2019, it was reported that deepfake videos of Johansson had been created and were being circulated on the internet. These videos, which were created using images from the actress' movies and other public appearances, were used to create pornographic videos without her consent.

Actress Daisy Ridley: In 2020, deepfake videos of Ridley were created and shared on the internet, again using images from her movies to create pornographic content without consent.

Politicians: In some countries, deepfake videos of politicians have been created and used to spread misinformation and propaganda. For example, in 2019, a deepfake video of Indian Prime Minister Narendra Modi was shared on social media, which made it appear as though he was saying things he never actually said.

These examples demonstrate the potential harm of deepfake technology, as it can be used to create and spread fake information, and to create non-consensual sexual content. As deepfake technology continues to advance, it is likely that more and more people will become victims of this technology.

It's important to note that creating and spreading non-consensual deepfake videos is illegal in some countries, and is considered a form of harassment and abuse. The victims of deepfake technology may have legal recourse, but it is still new and untested area of law. Earn money YouTube without making videos

How to detect deepfake technology?

There are several methods that can be used to detect deepfake technology, including:

Visual analysis: One of the most effective methods for detecting deepfakes is to analyze the visual and audio content of a video or image to look for signs of manipulation. For example, a deepfake video may have subtle artifacts or inconsistencies in lighting, shadows, and skin tones that can indicate that the video has been tampered with.

Audio analysis: Another way to detect deepfakes is to analyze the audio content of a video to look for signs of manipulation. For example, a deepfake video may have audio that does not match the lip movements of the person speaking, or may have inconsistencies in the background noise or other audio cues.

Detection software: There are several software programs and online tools that have been developed specifically to detect deepfake videos. These programs use a combination of visual and audio analysis techniques to analyze a video and determine if it is a deepfake.

Behavioral biometrics: this method uses the unique patterns of individual's behavior such as typing rhythm, mouse movements and even the way they move their head and eyes to detect deepfake. This can be used to detect deepfake videos of a person, even if the video is highly realistic.
Metadata: In some cases, deepfake videos are created by manipulating the metadata of an original video file. By analyzing the metadata of a video file, it is possible to detect signs of tampering and determine if a video is a deepfake.Motivational life changing story

It's important to note that no single method is guaranteed to detect all deepfake videos, and new techniques are being developed to create more convincing deepfakes. Additionally, deepfake detection techniques are also improving over time, but as the technology is constantly evolving, it can be difficult to keep up with the latest techniques used to create deepfakes. As a result, it's important to use multiple methods and stay informed about new developments in the field in order to have the best chance of detecting deepfake technology.

How dangerous is deepfake?

Modern age is the age of internet. More specifically, the age of social media. A piece of news reaches people faster through social media than any other medium. So it's an excellent place to spread confusion. News spread quickly without any verification. Rumors spread quickly. There is no easier way to control people's thoughts. And here is the triumph of deepfake technology. In this way, it can spread wide influence in all social and political fields. This technology can destroy the love and trust between a happy couple in an instant. Can create political anarchy.  There will be a huge conflict in people's minds about what is real and what is fake. And there is a danger of spreading offensive videos.

Be careful, warn family. Share and inform friends.