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Beyond the Hype: How Explainable AI Can Ensure Ethical Use of Generative AI in Digital Media
Abstract
The rise of Generative Adversarial Networks (GANs) in digital media presents both opportunity and challenge. While GANs can create engaging content, their ability to generate realistic yet fabricated media raises ethical concerns about information authenticity and user trust. This paper proposes Explainable AI (XAI) as a solution. By demystifying GAN decision-making processes, XAI can promote transparency in content development, enhance fact-checking, facilitate deepfake detection, and mitigate bias within GAN training data. This multifaceted approach using XAI can foster responsible communication practices and build a foundation of trust between digital media platforms and audiences.
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