The dark shadow of deepfakes: Essential to develop robust detection mechanisms, legal frameworks

The complexity of deepfakes lies in their ability to generate highly convincing, AI-generated content that can manipulate images, audio, and video to create realistic simulations of people saying or doing things they never did. They stand as a chilling testament to the power and peril of our digital age, and are a growing concern for society at large.

Deepfakes originate from generative adversarial networks (GANs), a technique featuring two neural networks in competition. The first network, the generator, crafts images or videos with a goal of utmost realism.