The article explores the impact of deepfakes on the creation of digital avatars and their use in pornography. Deepfakes make it possible to create convincing alterations of videos, audio and images, raising serious concerns about privacy, consent and exploitation. The study analyzes how deepfakes can create explicit content without people’s consent, raising ethical and legal concerns. Legal research is used to analyze the legal implications of deepfakes and explain how these technologies, such as generative adversarial neural networks (GAN), work. It is discussed how deepfakes are used to create non-consensual pornography, seriously affecting people’s privacy and dignity. The document also discusses current laws and the need for stricter regulation to address the malicious use of deepfakes. The urgency of developing robust legal frameworks and the responsibility of technological platforms to protect victims is highlighted. Additionally, the need for better detection tools and public education on how to identify this type of content is highlighted. In conclusion, the study highlights the need for a comprehensive approach to mitigate the risks associated with the abuse of these technologies and protect the fundamental rights of people in the digital age.
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