FACES OF DECEPTION LEGAL AND ETHICAL CONCERNS OF DEEPFAKES A research Paper by: Eshaal Ammar, Maheen Faheem, Bazil Jalal, Mahd, Sonia, Purvi Abstract: Generative deep learning algorithms have progressed to a point where it is difficult to tell the difference between what is real and what is fake. Deep fakes are a form of synthetic media generated through deep learning algorithms, that convincingly imitate real people, manipulating audio, images , or video to create highly realistic but fabricated content. Deepfakes present both innovative opportunities and major risks . This paper examines (1) what deep fakes are, (2) whether and how deep fakes infringe IP and publicity rights. And furthermore, it simultaneously (3) helps to understand the effects of deep fakes caused in society and challenges possessed due to misinformation, identity theft and fraud. Introduction: “CEO: Sir, please transfer me $10,000 from accounts, we are going to sign these documents." The direct...
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