With the continuous progress of technology, negative forms of use are inevitable. In the case of Artificial Intelligence, whose potential is immense, it is also exploited by malicious individuals to create what are known as”Deepfakes”, fake AI-generated content.
This misuse of AI affects individuals, companies, and even governments, causing financial, image, and reputational damage. It's no wonder that the Superior Electoral Court (TSE) approved, in February, 12 resolutions on the use of Artificial Intelligence in the 2024 elections, including banning the use of deepfakes.
The subject of artificial image editing came back to the fore after A photo of the Princess of Wales, Kate Middleton, be removed from news outlets on suspicion of “manipulation”. The princess later admitted that she edited the image herself.
In this article you will understand what deepfake is and how to identify this content so as not to fall into fake news. Check it out!
What is Deepfake?
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Simply put, deepfake content is fake videos, images, and audios that, using Artificial Intelligence and deep learning concepts, They look real. This technique is able to simulate expressions, voice, face shape, and create compelling fictional situations.
An example is the image above, which is an excerpt from a video by the Dutch filmmaker, Bob de Jong (at the bottom), in which he emulates the voice and face of actor Morgan Freeman with deepfake techniques. You can check out the full video here.
In this case, one person impersonates another, but there are several other ways of using deepfake in which only someone's voice or even an image is changed, as was the case of Pope Francis and the cold coat, which went viral last year.
This problem is not so recent, but with the spread of Artificial Intelligence, it has become much easier to change any content. There is an enormous variety of applications and software capable of producing deepfakes with great speed and quality, especially when it involves audios, which is a full plate for scammers.
How do deepfakes affect companies?
As we mentioned, deepfake content is not restricted to celebrities or politicians, but also they can target companies. In this context, scams can have financial, reputational, and image objectives and also data breaches.
As an example, in Hong Kong, an employee of a financial sector company made a transfer of US$ 25 million after participating in a meeting forged with deepfake. The scammers recreated the voice and image of the company's chief financial officer and tricked the employee into completing the false business transaction.
That's why it's important to invest in cybersecurity to prevent fraud and digital attacks is essential. Here at Venturus, this is one of the biggest concerns when working on our clients' projects. Get in touch with our experts and find out how we can help you!
How to identify deepfakes
The good news is that there are already software and applications, some even free, that can identify content generated from Artificial Intelligence. And they work just like deepfakes, that is, they use the same technology, but aimed at the common good.
O Deepware, for example, is a software that identifies AI-generated videos. Just upload the desired video and the tool identifies if there has been any synthetic manipulation. But it should be noted that the result is not always accurate, especially when deepfake content is professionally produced.
Already Hive it is already focused on identifying textual or image content made by AI, even directly through the browser.
In addition to these and other software, it is also possible to identify deepfakes with a closer look and seeking other sources of information.
In the videos, for example, it is possible to notice some defects, even if they are discreet, such as:
- lack of synchronization From the lips to the speech
- Unusual movements of the blink of an eye.
- Some details are missing Traits of the person
In the case of other types of deepfakes, such as audios, images, or texts, try to find another source of that news and avoid sharing content whose veracity you don't know.
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