Deepfake AI Face Swap

Deepfake started out as face swapping apps which people use for fun. The face swap app is just fun people can easily identify real and fake.

But as AI ( Artificial intelligence) getting advance day by day deepfake are getting a lot more real, and the application behind their is easy to use which anyone can use with few tutorials and can make human like face, which poses a problem because for the longest time you said 'seeing is believing'.

Be alert, the quote 'seeing is believing' with these Deepfake app raised questions Is seeing really believing?

You should not believe everything you see on internet, it make be fake or a Deepfake. 

Deepfake raised many questions like

What is Deepfake?

How can you stop the right one?

Is it erasing the line between real and fake?

Why should you care? Will it harm you?

Deepfake meaning

The word deep meaning deep learning and fake simply means just fake. 

How Deepfake video were made ?

We will take an example, it will easy to understand, say we have two people, person A and person B, you want to swap their faces, in first step you run their pictures through an AI application, more picture you run the more the quality of output. The AI compares the face frame by frame it focuses on the similarity and turns them into identical. 

There is another AI algorithm which reconstruct the face of person A and with the voice of person B. By this it makes Deepfake video. Which sometimes even Human eye can't detect.

When Deepfake first began they promised a digital utopia you could be anyone you wanted to and you can create old photos of loved ones and make the picture moving like eye blink, smile, expressions. People from different places started using these to create videos of dead relatives. Although it does cause Harm.

Question And Answer

1. What exactly is a deepfake?

A deepfake is a product of deep learning algorithms merging with artificial intelligence to create hyper-realistic counterfeit multimedia content.

2. Can deepfakes be reliably identified and thwarted?

While techniques for detecting deepfakes are evolving, the rapid advancements in AI make it an ongoing challenge to definitively discern authentic content from deepfake fabrications.

3. Are deepfakes blurring the line between reality and fiction?

Indeed, deepfakes are erasing the once-clear demarcation between real and fake, compelling us to recalibrate our understanding of truth in the digital age.

4. Why should individuals be concerned about deepfakes?

The widespread use of deepfakes for malicious purposes underscores the potential for misinformation, manipulation, and harm, warranting a collective sense of vigilance.

5. How can one protect themselves from falling victim to deepfake deception?

Maintaining a critical mindset, fact-checking, and being cautious of accepting visual evidence at face value are pivotal steps in safeguarding against the allure of deepfake deception.