The rapid advancement of artificial intelligence and machine learning has precipitated the rise of "deepfake" technology. While this technology has legitimate applications in film and entertainment, it has been increasingly weaponized to create Non-Consensual Intimate Imagery (NCII). This paper examines the phenomenon of deepfake pornography, focusing on its impact on victims, the legal lacunae that often protects perpetrators, and the broader societal implications for trust and privacy in the digital sphere.
Deepfakes rely on deep learning architectures, specifically Generative Adversarial Networks (GANs). These networks train on datasets of images to generate convincing fake images or videos.
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