What are the challenges of regulating de... - tlooto, The Most Powerful AcademicGPT

Regulating deepfake content on social media faces multifaceted and persistent challenges that span the technological, legal, and societal spheres, and these complexities are continuously exacerbated as the underlying generative AI technologies evolve. 1. Technical Detection Barriers and Arms Race The central technical challenge arises from the escalating realism and sophistication of deepfake generative models. The continuous advancement of generative adversarial networks (GANs), diffusion models, and language models has made it increasingly difficult for detection systems—both automated and human—to reliably distinguish between genuine and synthetic content[1][2][3][4][5]. Studies consistently show that even advanced deep learning-based detectors suffer a marked decline in detection accuracy when applied outside their training domain (“cross-dataset evaluation”), exposing generalization weaknesses and the difficulty in maintaining performance against unseen or novel deepfake methods[2