{"id":2718,"date":"2024-12-04T09:14:38","date_gmt":"2024-12-04T08:14:38","guid":{"rendered":"https:\/\/enthec.com\/?p=2718"},"modified":"2024-12-04T09:14:38","modified_gmt":"2024-12-04T08:14:38","slug":"deepfakes-what-they-are-and-how-to-detect-them","status":"publish","type":"post","link":"https:\/\/enthec.com\/en\/deepfakes-what-they-are-and-how-to-detect-them\/","title":{"rendered":"Deepfakes: what they are and how to detect them"},"content":{"rendered":"

In the digital information age, artificial intelligence (AI) has enabled surprising manipulation of images, videos, and audio. This advancement has given rise to deepfakes, which impresses its realism but raises ethical and safety concerns.<\/strong>
If you’ve ever wondered, “Deepfakes, what exactly is that?” here’s what they are, how they work, and most importantly, how you can spot them.<\/strong> <\/p>\n

 <\/p>\n

What are deepfakes?<\/h2>\n

The term “deepfake” comes from the combination of two words: “deep learning” and “fake”. It refers to media content manipulated using artificial intelligence algorithms<\/strong>, specifically deep neural networks, to create a highly realistic version of something that didn’t happen.
In other words, deepfakes allow you to change faces, voices, or even movements in videos and audio,<\/strong> making it seem that a person said or did something that never happened. For example, you might see a celebrity singing a song they never performed or a politician giving a fake speech. <\/p>\n

 <\/p>\n

\"deepfake<\/h2>\n

<\/h2>\n

 <\/p>\n

How do deepfakes work?<\/h2>\n

Deepfake AI is generated using advanced deep learning technologies.<\/strong> This involves training the AI with large amounts of data, such as images, videos, and audio of a person so that the machine learns to replicate their gestures, tone of voice, and facial expressions.
This process uses techniques such as GANs (Generative Adversarial Networks), which pit two neural networks against each other:<\/strong> one generates fake content, and the other evaluates its authenticity, improving the result with each iteration.
Thanks to tools accessible on the Internet<\/strong>, creating fake images has become easier. In the past, creating a deepfake required advanced programming skills and expensive equipment, but today, anyone with access to certain applications can generate a manipulated video.<\/p>\n

 <\/p>\n

Why are deepfakes dangerous?<\/h2>\n

Now that you know what deepfakes are and how they work, we must emphasize that although this technology has positive applications, such as in the entertainment, education, or marketing industry, its dark side is undeniable. Deepfakes have been used to spread fake news, impersonate identities, and even extort people.<\/strong> <\/p>\n

Impact on society<\/h3>\n