Deepfake AI: Transforming Future of Digital Content

Digital marketing and digital content creation are rigorously impacted by artificial intelligence. It made the content creation job easier with advanced tools. It helped with generating content ideas and sometimes creating content. Now, AI can generate images of someone and video as well of some incident that never happened.  In this roe a new term appears, called Deepfake AI.

You must have heard of deepfake AI, which has taken the internet on storm already. This deepfake AI can generate fake images, videos, and voice clips of a particular person with accuracy. Many celebrities already have reported scams and the digital content of everyone is under threat. In this article, we will shed some light on the advantages and risks associated with deepfake AI and the security measures for the potential threat. 

What Are Deepfake AI? 

The name combines deep and fake which indicates producing fake content with deep learning. Deepfakes are videos, images, and voices that are fake and generated by using deep learning AI models. The AI model can process past information and a huge data set with deep learning and produce images, videos, and voices of people with accuracy. 

For example, deepfakes can process someone’s actual photos and voice and learn about the person. Then with your command, they can generate a video of that person with his voice of an incident that never happened. The accuracy of the image and voice are astonishingly convincing. One can easily open a social media handle with a fake photo generated by deepfake AI. Fake photos and videos of many celebrities have already gone viral and raising questions about the security of digital content. 

Advantages Of Deepfake AI on Digital Content 

Just like every invention deepfakes also have bright and dark sides. With the ease of creating content, it can help people deal with digital media.  

Content Creation Revolution 

With deepfakes, you can process human behavior data and generate images and videos with the help of deep learning. In this case, you do not need to hire people for a video shoot or photoshoot. This way you can save time, money, and effort in creating digital content.  

Whether you are making a video presentation for education or an ad film for product promotion, deepfakes will make it look real without having any real human in it.  

Personalized Advertising 

Deepfake can help you create more personalized campaigns and advertisements for better engagement. For example, you can make a promotional video with your brand ambassador addressing your audience by name. And you do not need to shoot that every time, the replication of the original advertisement will be done by deepfake AI.  

This kind of content can hook the audience and they will tend to enquire further. However, you might need this idea approved by your model or brand ambassador to maintain integrity and ethics.  

Risks Of Deepfake AI for Digital Content 

Many cases have been observed where deepfake AI has been used for making content to harm reputation and integrity on the internet. Seeing these incidents, we can say that it has affected badly the security of digital content and may evolve into a dangerous weapon in the future. 

Fabricated Product Advertisements 

With the help of deepfake AI, a manufacturer can make an advertisement demonstrating the fake effectiveness of their products. This might seem real on screen to general audiences. This fabricated advertised product may not be effective at all or may be harmful to the contrary. 

Misleading and fake promises will confuse many people and that may lead to emotional and financial damages. For example, a video explaining the success of fake business opportunities or investment schemes by real looking human or a known figure can mislead people to invest.  

Fake Endorsements  

Some people may showcase celebrities and public figures in their advertisements generated by deepfake AI without their knowledge. You might get impressed and decide to purchase a product, which may be fake. This is unethical from the point of endorsement as well. 

Bad Influence On Society 

People with bad intentions can influence society with fake voices and video messages of a well-known person without their knowledge. For example, a voice message or video made using the voice or image of a political leader which is circulating some bad words about a particular person or group of people may raise a conflict between civilians.  

Similarly, any message can be delivered to influence people and that may not be for good most of the time. 

How To Ensure The Security Of Digital Content 

To ensure security against deepfake AI we need legal and technological help. However, it is difficult to stop it completely. 

Legal Help 

Regulating authorities are still struggling to control the fast-evolving deepfakes. There are some cyber laws made to protect consumers but generalised policies can not handle deepfakes. We need specific policies to control the random use of deepfake AI. Here is a probable list of policies: 

• Stating a clear definition of deepfake content. 

• Making protocols to verify content made with deepfake and circulate with the deepfake label. 
• Building awareness among consumers and internet users about deepfake influences. 

Technological Help To Identify Deepfake AI 

There are ways to detect traces of deepfake technologies like facial analysis, audio-visual synchronization, machine learning algorithms, biological signals, and multimodal approaches. 

Tools For Detecting Deepfakes 

There are a few tools that have proved to be beneficial in detecting deepfake AI usage in creating digital content. Tools like Sentinels, Google SynthID, Intel’s FakeCatcher, Microsoft’s Video Authenticator, VizMantiz by Kroop AI, etc. are extremely helpful for detecting deepfake influence. 

Conclusion 

AI has tremendous potential and may help humanity in many ways. But, applications like deepfakes are also unavoidable which can be harmful with unethical usage. However, it is better to focus on ways to combat problems like deepfakes than just blaming. The initiative should be taken to educate internet users about deepfake influence and about using deepfake detection tools. The deepfake users also need to be educated about the ethical usage of the tool. Authorities across the globe should mutually develop regulations to control the random use of deepfake AI.