Artificial Intelligence and Digital Imaging: Future Trends in Editing and Ethical Concerns

Abstract

AI-based political deepfakes are an emerging threat to democratic integrity, voter confidence, and electoral integrity. Using sophisticated AI tools like Generative Adversarial Networks (GANs), voice cloning, and lip-syncing, deepfake producers can create highly realistic but fake political content. This study examines the 2024 U.S. elections AI-generated deepfake scandal of Biden and Trump, where attention is directed toward the involvement of social media sites in broadcasting disinformation and how to identify and regulate deepfakes. Even though there have been efforts to curb AI-generated disinformation, loopholes in regulatory standards and ineffective mechanisms for enforcement persist, especially in the United States. The article analyses emerging AI detection technologies, legislations like the DEEPFAKES Accountability Act (2023), and responses of international regulatory bodies. It concludes with demands for stronger AI regulation, improved content verification systems, and improved public awareness campaigns to counter the deepfake disinformation threat.