DeepFake AI Bots: Know its Work, Usage, Legality, Pros and Cons

What are the deepfakes?

Deepfakes are a phenomenon that has been going on since 2017. They refer to videos, audio, pictures or other media created with the help of artificial intelligence, also known as deep learning or Deepfake ai bot. The term gained popularity after an anonymous Reddit contributor employed an AI-driven program that is available to the public to overlay the faces of famous people onto the bodies of individuals in pornographic videos.

Fast forward to 2023 and deepfake technology, with the assistance of AI tools, allows semi- and non-skilled people to make fake content using altered audio-visual clips and pictures.

Researchers have noticed an increase of 230% in the use of fakes by scammers and hackers and have predicted that the technology will replace phishing in just a few decades, Cyfrima, a cybersecurity company, said. Deepfake technology can be used to create fake content from scratch, in contrast to the transformation of a video.

The History of deepfake AI bot technology

Deepfake AI is a fairly modern technology, with its origins in the manipulation of photographs by using programs such as Adobe Photoshop. In the mid-2010s, cheap computing power, massive datasets, AI, and machine learning technology were combined to increase the efficiency of deep learning algorithms.

The year was 2014. GAN is the tech that lies at the core of deepfakes. It was invented in the lab of University of Montreal researcher Ian Goodfellow. In 2017, An unidentified Reddit member dubbed “deepfakes’ ‘ began releasing deepfake videos featuring celebrities and a GAN tool that lets users change faces in their videos. These videos went viral on the web and social media.

The rapid rise of fake content has prompted tech companies like Facebook, Google and Microsoft to develop tools to detect fakes. Despite the efforts made by governments and tech companies to fight fake content and tackle the challenge of detecting fakes, technology continues to develop and create more convincing fake images and videos.

Is It Legal to Use DeepFake AI Bots?

With the introduction of AI technology in our everyday lives, cases of exploitation of AI technology for criminal purposes are increasing. It’s difficult to determine whether it is legal to use deepfake AI bot technology because it is contingent on your intended purpose. If you utilize fake AI tools to carry out Identity theft and virtual forgery, privacy infringement or other criminal acts, It is considered illegal. If you’re doing it solely by having fun and having the consent of the owner of the photo or video, It is legal. It is strongly recommended that you use advanced AI technology for good reasons.

What laws of India refer to deepfakes?

Deepfakes are rapidly becoming a problem and are utilized by cybercriminals to spread false information online. But, some laws can be enacted to stop threats from creating fake videos. In India, the IT Rules 2021 require that intermediary platforms remove all content found to be fake or made by using deepfakes within 36 hours.

The Indian IT ministry has notified social media platforms that impersonating someone online is unlawful as per Section 66D under the Information Technology Act of 2000. Its IT Rules, 2021 prohibit hosting any content that resembles another and require social media companies to delete artificially altered images if they are alerted.

What have other countries done to the threat posed by deepfakes?

Many countries around the world have passed laws to stop the use of fake technology. The EU has released guidelines for establishing an independent fact-checkers network that will assist in analyzing the source and process of content creation. The EU’s guidelines also require tech companies like Google, Meta, and X to implement measures for combating fake accounts and deepfakes on their platforms.

China has issued guidelines for users and service providers to ensure that manipulated content that uses deepfake technology is clearly identified and can be identified back to its original origin.

The United States of America has also launched legislation called the Multi-party Deepfake Task Force Act to combat the use of fake technology.

How do fakes work?

Deepfakes employs two methods, a generator and a discriminator- to design and improve fake content. Generators create an initial learning dataset based on the desired output and then create fake digital content, and the discriminator evaluates how authentic or fake the first draft of the material appears. The process is repeated, which allows the generator to get better at creating realistic content and the discriminator to become proficient in identifying any flaws and allowing the generator to fix them.

The combination of discriminator and generator algorithms generates a generative adversarial system. GAN employs deep learning to detect image patterns and then utilizes these patterns to make fakes. When making a fake photograph, the GAN system analyzes photographs of the object from various angles to record all specifics and angles. When making a fake video, the GAN examines the video from a variety of angles and analyzes the motion, speech and behavior patterns. The information is then passed through the discriminator many times to refine the authenticity of the final video.

Deepfake videos are made by using one of two methods. They can use an original video source from the subject, in which the individual is made to act and say things that they would never do or swap the face of the target onto an image of a different person, also referred to as the face swap.

Different methods to create Deepfake

Source video deepfakes: If you work from an original video source, a neural network-based deepfake autoencoder analyzes the content to identify important characteristics of the person you are targeting, including body language and facial expressions. It then applies these features to the video. The autoencoder consists of an encoder that encodes the necessary attributes and a decoder that applies these attributes to the video.

Audio deepfakes: To create audio deepfakes, a GAN copies the sound of a voice. It develops a model of the vocal patterns and then uses the model to allow the voice to speak whatever the creator wishes. Video game designers often employ this technique.

Lip syncing: Lip syncing is a common method employed in deepfakes. The deepfake maps audio recordings to video, creating the illusion that the person appearing in the video is speaking the words recorded in the recording. If the recording is fake, the video is an additional layer of deceit. Recurrent neural networks aid this technique.

What are the most popular ways to use deepfakes?

The purpose of deepfakes by using deefake ai bot differs dramatically. The primary uses are the following:

Art: Deepfakes are utilized to create new music from the existing body of work.

Blackmail and reputation harm: The reputation of a person is damaged by blackmail. The most common instances of this happen when the image of the target is placed in a criminal or in a compromising scenario, such as telling the truth to the public, engaging in sexually explicit activities or consuming drugs. The videos can get a person’s attention to damage a person’s reputation or retaliate or cyberbully the victim. The most popular method of blackmail or revenge is non-consensual deepfake porn, often referred to as revenge porn.

Services for responding to calls: These services use deepfakes to give customized responses to requests from callers, including call forwarding and other receptionist services.

Support for customers via phone: These call centers use fake voices for basic tasks such as checking the account balance or submitting an issue.

Entertainment: Hollywood films and video games copy and alter actors’ voices in specific scenes. Media outlets employ this technique whenever a scene is difficult to film or in post-production when the actor is not on location for recording or to make it easier for the actor and team to produce. Deepfakes are also used for parody and satire content in which viewers realize it’s not real but are entertained by the hilarious scenario the fake creates. A good illustration is that of the 2023 Deepfake from Dwayne “The Rock ” Johnson in the role of Dora the Explorer.

False evidence: This can be done by fabricating fake audio or images that could be used to prove either innocence or guilt in legal cases.

Fraud: Deepfakes can impersonate individuals to gain personally identifiable data (such as bank account and credit card information. This may include impersonating a company’s CEO or other employees with credentials to gain access to sensitive information, which is a significant security risk.

Political manipulation and misinformation: False videos of politicians or credible sources are employed to influence the public’s opinion and, as in the instance of fake footage of Ukrainian president Volodomyr Zelenskyy, cause confusion during the war. It is often described as the spreading of deception in the media.

Stock manipulation: Forged fake materials are used to alter a company’s stock price. For example, an untrue video of the CEO making negative remarks regarding the company may lower its price. A fake news clip about an innovation in technology or a product launch can boost the price of a company’s stock.

Texting: U.S. Department of Homeland Security’s “Increasing Risk of Deepfake Identities” report mentioned text messages as a possible future application of fake technology. The report shows that threat actors might use fake techniques to imitate texting habits.

Positive Use of Deepfake

Deepfake is a controversial issue because it can be used to harm others. Since this technology is growing rapidly, it is important to realize that it brings increasing advantages. Here are a few examples:

• Create creative digital selfies with yourself: Deepfake allows people to make their own deepfake, including selfies of your head, AI avatars, and humorous memes.
• Enhance visual effects at a lower expense: Deepfake has been adopted by the film industry to produce real-looking virtual characters for only a fraction of the cost.
• Useful as a teaching assistant: Teachers can utilize deepfake technology to bring historical figures to life for their students.
• Keep your privacy secure and remain anonymous: Your privacy online is made easier by using deepfake. It creates a real-time, brand-new look for you in the video.

How are deepfakes dangerous?

Deepfakes are a serious risk. Despite being legal to use, they pose several risks, which include:

• The reputational damage and blackmail can place targets in legally risky situations.
• In the case of election interference, this includes creating fake videos of candidates.
• Stock manipulation is when fake content is made to affect stock prices.
• Fraud is when an individual pretends to be someone else to rob the account of a bank and others.

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