Mini Series: Deepfake Pornography
Narrative Short Series
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As concerns mount over the impact of deepfakes and other AI-generated or AI-modified content, discourse over how to tackle this challenge is expanding. Tech platforms and AI companies make announcements, coalitions are formed, and regulations are proposed. At Mozilla, where we promote trustworthy AI and call the tech giants to account for their actions, we are working to understand the policy choices that are being made, while tracking their enforcement and watching how they play out in the real world.
Deepfakes (portmanteau of "deep learning" and "fake") are synthetic media that have been digitally manipulated to replace one person's likeness convincingly with that of another. It can also refer to computer-generated images of human subjects that do not exist in real life While the act of creating fake content is not new, deepfakes leverage tools and techniques from machine learning and artificial intelligence, including facial recognition algorithms and artificial neural networks such as variational autoencoders (VAEs) and generative adversarial networks (GANs). In turn the field of image forensics develops techniques to detect manipulated images.
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WHFF Presents Deepfake Pornography th...
Buy Now: https://www.amazon.com/dp/B0D3JM8S5T
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