Dies ist eine Übersichtsseite mit Metadaten zu dieser wissenschaftlichen Arbeit. Der vollständige Artikel ist beim Verlag verfügbar.
Artificial Intelligence and Digital Imaging: Future Trends in Editing and Ethical Concerns
1
Zitationen
1
Autoren
2025
Jahr
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.
Ähnliche Arbeiten
Explainable Artificial Intelligence (XAI): Concepts, taxonomies, opportunities and challenges toward responsible AI
2019 · 8.231 Zit.
Stop explaining black box machine learning models for high stakes decisions and use interpretable models instead
2019 · 8.084 Zit.
High-performance medicine: the convergence of human and artificial intelligence
2018 · 7.444 Zit.
Proceedings of the 19th International Joint Conference on Artificial Intelligence
2005 · 5.776 Zit.
Peeking Inside the Black-Box: A Survey on Explainable Artificial Intelligence (XAI)
2018 · 5.423 Zit.