The social, political and economic impacts of deepfake and shallowfake
Posted: Thu Feb 20, 2025 8:05 am
Using artificial intelligence software, especially machine learning, which uses data to learn from it, algorithms are used to recognize the image that will be copied and, using artificial neural networks, the algorithms classify images, recognize speech, detect objects and are able to learn the shape of faces, paying attention to facial expressions and adapting and reacting to lights and shadows.
This makes it possible to create a video using a person's face and voice, showing that they did and said things that never happened. The creation is based on original content. By providing information to the software, a second video is generated in which it is possible to change part of a sentence, inserting it into another context, or changing it completely.
Shallowfake, on the other hand, is a less refined production, with more japan mobile database superficial and crude editing. Because they do not use artificial intelligence software, shallowfake videos often decontextualize the original content, intentionally adding or removing speech information. Their less refined construction, however, reinforces the same process of misinformation to the public.
The practice of adulterating videos using artificial intelligence programs, which require extensive programming knowledge, began with users creating video montages with pornographic content, generally assigning roles to images of famous actresses and celebrities.
But the process has evolved and intentions can change when reaching new levels. In the economy, for example, the value of shares of large companies also varies due to their reputation in the market, taking into account statements made by their CEOs. A fake video of the CEO of a large company, for example, that contains offensive content, can have a huge impact and be enough to bring down the company.
Another major concern, in addition to the economic one, is the judicial system, since with the spread of deepfakes and shallowfakes, video evidence could be discredited. This possibility could cause judicial systems around the world to collapse.
This makes it possible to create a video using a person's face and voice, showing that they did and said things that never happened. The creation is based on original content. By providing information to the software, a second video is generated in which it is possible to change part of a sentence, inserting it into another context, or changing it completely.
Shallowfake, on the other hand, is a less refined production, with more japan mobile database superficial and crude editing. Because they do not use artificial intelligence software, shallowfake videos often decontextualize the original content, intentionally adding or removing speech information. Their less refined construction, however, reinforces the same process of misinformation to the public.
The practice of adulterating videos using artificial intelligence programs, which require extensive programming knowledge, began with users creating video montages with pornographic content, generally assigning roles to images of famous actresses and celebrities.
But the process has evolved and intentions can change when reaching new levels. In the economy, for example, the value of shares of large companies also varies due to their reputation in the market, taking into account statements made by their CEOs. A fake video of the CEO of a large company, for example, that contains offensive content, can have a huge impact and be enough to bring down the company.
Another major concern, in addition to the economic one, is the judicial system, since with the spread of deepfakes and shallowfakes, video evidence could be discredited. This possibility could cause judicial systems around the world to collapse.