The ethical implications of this technology are profound, primarily because it bypasses the concept of consent. Traditional digital privacy focused on protecting existing data, but AI-driven forgery creates "new" data that the victim never participated in. This creates a psychological and legal nightmare for those targeted. For the victim, the fact that the image is "fake" often matters less than the reality of its circulation and the resulting social or professional fallout. This phenomenon highlights a significant "legislative lag," where the rapid pace of AI development has outstripped the ability of legal systems to provide adequate protection or recourse for victims of non-consensual deepfake pornography.
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At the core of both the malicious and creative uses of DesiFakes is . This is a form of artificial intelligence, typically based on "generative adversarial networks" (GANs) or other machine learning models, that can synthesize or manipulate audio and video. These models learn to analyze thousands of images of a person to map their likeness onto another person's body or face.
While India lacks a specific "deepfake law," existing statutes apply: