Combating Deepfakes
DOI:
https://doi.org/10.64322/JLRP.2025.1102Keywords:
Deepfake, Artificial Intelligence, GANs, Generation Tools, Detection ToolsAbstract
The spread of deepfake technology brings with it difficulties like threats to democratic integrity, privacy, and the detection of truth. Artificial intelligence, specifically deep learning and generative adversarial networks (GANs) is used in deepfakes to alter audio-visual content in a way that makes it hard to tell what is real and what is not. Creative advancements in communication and entertainment have been made possible by this advance technology, but it also creates opportunities for harmful applications like damaging reputation, identity theft, political disinformation, and deepfake consensual or non-consensual pornography. This article examines the creation and identification of deepfakes from a technological and legal perspective. It evaluates the effectiveness of detection tools in comparison to deepfake generation tools through a comparative analysis. The ethical obligations are analysed considering the legal ramifications, which include freedom of speech, digital consent, and privacy rights. To close the technological and legal gaps in confronting deepfakes, the article's conclusion calls for a multidisciplinary strategy that brings together engineers, legal professionals, and legislators.
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