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Deepfakes, created using AI techniques like Generative Adversarial Networks (GANs), present significant challenges. These hyper-realistic digital forgeries can manipulate images, videos, and audio, raising serious legal and ethical concerns, especially when used for explicit content. While they have potential applications in entertainment, the risks associated with their misuse are alarming.
The legal landscape is struggling to keep pace with the rapid evolution of deepfake technology. Current laws often fail to address privacy violations, defamation, and intellectual property infringement effectively. A multifaceted approach involving technological solutions, public education, and updated legal frameworks is essential to mitigate the threats posed by deepfakes.
• Deepfakes raise significant legal and ethical challenges in digital content creation.
• Generative Adversarial Networks are key to the creation of hyper-realistic deepfakes.
Deepfakes are hyper-realistic digital forgeries created using AI techniques, often leading to ethical concerns.
GANs consist of two neural networks that generate and evaluate synthetic data, enabling the creation of deepfakes.
Deepfakes can lead to significant privacy breaches, as individuals may not consent to their likeness being used.
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