Deepfakes are digital media, such as videos or images, that have been created or altered using advanced artificial intelligence technology. This technology makes it possible to generate realistic visual content in which one person’s face or voice is superimposed on that of another, often in a very convincing way.
How do deepfakes work ?
Deepfakes are typically created using deep neural networks, a form of artificial intelligence capable of learning from large amounts of data. To create a deepfake video, for example, an algorithm is trained to recognize a person’s facial features in a set of existing videos and then overlay them onto another video. This can be done using image generation, motion detection and tracking, and speech synthesis techniques.
Deepfake applications.
Although deepfakes have raised concerns about their potential for abuse and manipulation, they also have legitimate and creative applications. For example, they can be used to create impressive special effects in film and television, to enhance virtual and augmented reality, or even to assist in the creation of artistic and humorous content. Deepfakes can also be used maliciously to create disinformation videos, defame individuals, or even to create non-consensual pornographic videos featuring real people.
How to combat this threat ?
Faced with the rise of deepfakes, researchers, companies and governments are working to develop detection and prevention techniques to counter this threat. This includes developing software and algorithms that can detect anomalies in digital media, as well as raising public awareness of the risks associated with deepfakes and how to recognize them.
Example of a deepfake attack.
Recently, a deepfake video circulated on social media, purporting to show the CEO of a leading tech company making shocking claims about the privacy of its users’ data. Despite the video’s obvious falsity, it caused confusion among investors and customers, leading to a temporary drop in the company’s stock price and undermining its reputation.
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